Kalcor Coatings Company is seeking a CHEMIST for its location in Willoughby, OH. Started in 1961, Kalcor Coatings Company is A Right Size Company designing and manufacturing customized coatings and paint products to meet our customers' specific needs. Our primary goal is to be a successful developer/producer/marketer of high-performance coatings with a deserved reputation for integrity, responsibility, and competence in its treatment of employees, customers, suppliers, community and the public at large. Responsibilities Reporting to the Technical Director, this position has the following responsibilities: Perform specialized and advanced analyses, testing, and formulation of new and existing coating products and requirements. Perform small batch/sample manufacture, color matching, and testing. Assist in developing and specifying processes for coatings scale-up and manufacture. Evaluate new and existing raw materials for product improvement, availability, and/or cost benefits. Prepare reports and documents detailing project design, results, and conclusions; recommend additional actions or research. Support existing product lines via internal and external customer interaction, including technical service visits. Coordinate all regulatory and related environmental activities for Kalcor products and facility compliance in conjunction with the Technical Director. Perform daily housekeeping of laboratory and associated areas, functioning within safety guidelines. Qualifications Bachelor's degree in chemistry or a technical discipline (science or engineering). 5+ years of experience in a paint, coatings, or chemical laboratory, including formulation experience. Will consider a combination of experience and education. Broad range of formulation experience, including UV, waterborne, and solvent borne. Experience with 2K component a plus. Familiarity with design of experiment approach (DOE) and the ability to design, document, report, interpret and present findings as well as design follow-up experiments. Strong written and oral communication skills, including the ability to effectively present information to a variety of people (ie customers, public groups, top management, and boards of directors). Ability to operate, maintain, and calibrate a variety of specialized test and lab equipment, including color spectrophotometer. Working knowledge of MS Office (Word, Excel, PowerPoint, Outlook) and prior experience with formulation/processing software, color analysis and matching programs, or willingness and ability to learn. Exceptional mathematical, problem solving, documentation and organizational skills. Strong attention to detail and accuracy. Willingness and ability to travel to customer locations as needed. Valid driver's license and ability to be insured through the company's insurer. Candidates must be able to pass a color test, regularly lift and/or move up to 60 pounds, wear a fitted respirator and dust mask, and tolerate solvent odors and other chemicals used within the facility. Kalcor is a smoke-free, tobacco-free and vaping-free facility. If you are looking for a work environment that expects high quality work, professional conduct and respectful consideration for customers and coworkers alike, and you possess the skills and competencies for the Chemist position, we would like to hear from you! Equal Opportunity Employer
21/05/2024
Full time
Kalcor Coatings Company is seeking a CHEMIST for its location in Willoughby, OH. Started in 1961, Kalcor Coatings Company is A Right Size Company designing and manufacturing customized coatings and paint products to meet our customers' specific needs. Our primary goal is to be a successful developer/producer/marketer of high-performance coatings with a deserved reputation for integrity, responsibility, and competence in its treatment of employees, customers, suppliers, community and the public at large. Responsibilities Reporting to the Technical Director, this position has the following responsibilities: Perform specialized and advanced analyses, testing, and formulation of new and existing coating products and requirements. Perform small batch/sample manufacture, color matching, and testing. Assist in developing and specifying processes for coatings scale-up and manufacture. Evaluate new and existing raw materials for product improvement, availability, and/or cost benefits. Prepare reports and documents detailing project design, results, and conclusions; recommend additional actions or research. Support existing product lines via internal and external customer interaction, including technical service visits. Coordinate all regulatory and related environmental activities for Kalcor products and facility compliance in conjunction with the Technical Director. Perform daily housekeeping of laboratory and associated areas, functioning within safety guidelines. Qualifications Bachelor's degree in chemistry or a technical discipline (science or engineering). 5+ years of experience in a paint, coatings, or chemical laboratory, including formulation experience. Will consider a combination of experience and education. Broad range of formulation experience, including UV, waterborne, and solvent borne. Experience with 2K component a plus. Familiarity with design of experiment approach (DOE) and the ability to design, document, report, interpret and present findings as well as design follow-up experiments. Strong written and oral communication skills, including the ability to effectively present information to a variety of people (ie customers, public groups, top management, and boards of directors). Ability to operate, maintain, and calibrate a variety of specialized test and lab equipment, including color spectrophotometer. Working knowledge of MS Office (Word, Excel, PowerPoint, Outlook) and prior experience with formulation/processing software, color analysis and matching programs, or willingness and ability to learn. Exceptional mathematical, problem solving, documentation and organizational skills. Strong attention to detail and accuracy. Willingness and ability to travel to customer locations as needed. Valid driver's license and ability to be insured through the company's insurer. Candidates must be able to pass a color test, regularly lift and/or move up to 60 pounds, wear a fitted respirator and dust mask, and tolerate solvent odors and other chemicals used within the facility. Kalcor is a smoke-free, tobacco-free and vaping-free facility. If you are looking for a work environment that expects high quality work, professional conduct and respectful consideration for customers and coworkers alike, and you possess the skills and competencies for the Chemist position, we would like to hear from you! Equal Opportunity Employer
Senior Network Engineer Akkodis are currently working in partnership with a leading service provider to recruit an experienced Network Engineer to join a team of talented infrastructure specialists providing high level support and project delivery. The Role As a Senior Network Engineer, you will support and develop LAN/WAN Infrastructures, Network Security within a WinTel estate. As the Senior Network Engineer, you will have a broad knowledge and hands on experience in associated infrastructure technologies with good analytical and troubleshooting skills. The Responsibilities Responsible for the management and development of the LAN/WAN environment across the group. Monitor performance & provide improvements across the network infrastructure. Develop and implement processes that improves the stability and security of the networking infrastructure while minimising business impact. Develop & maintain documentation sets relating to areas covered by the role. Provide 'weekly/monthly' reporting of both SLA and performance of the networking infrastructure. Working within the team to provide support of other areas of the infrastructure where appropriate. Vulnerability/Patch Management & Reporting of LAN/WAN infrastructure. Where appropriate, ensure that IT standards are followed and enforced within the organisation. The Requirements As a Senior Network Engineer, you will have knowledge and experience of the below: LAN/WAN (Cisco) development & support. Network Security. Basic virtualisation deployment and administration (ESX). Active Directory Management. Windows Server , management, development and troubleshooting. Documentation & Asset Management. If you are looking for an exciting new challenge to join a leading infrastructure team please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
20/05/2024
Full time
Senior Network Engineer Akkodis are currently working in partnership with a leading service provider to recruit an experienced Network Engineer to join a team of talented infrastructure specialists providing high level support and project delivery. The Role As a Senior Network Engineer, you will support and develop LAN/WAN Infrastructures, Network Security within a WinTel estate. As the Senior Network Engineer, you will have a broad knowledge and hands on experience in associated infrastructure technologies with good analytical and troubleshooting skills. The Responsibilities Responsible for the management and development of the LAN/WAN environment across the group. Monitor performance & provide improvements across the network infrastructure. Develop and implement processes that improves the stability and security of the networking infrastructure while minimising business impact. Develop & maintain documentation sets relating to areas covered by the role. Provide 'weekly/monthly' reporting of both SLA and performance of the networking infrastructure. Working within the team to provide support of other areas of the infrastructure where appropriate. Vulnerability/Patch Management & Reporting of LAN/WAN infrastructure. Where appropriate, ensure that IT standards are followed and enforced within the organisation. The Requirements As a Senior Network Engineer, you will have knowledge and experience of the below: LAN/WAN (Cisco) development & support. Network Security. Basic virtualisation deployment and administration (ESX). Active Directory Management. Windows Server , management, development and troubleshooting. Documentation & Asset Management. If you are looking for an exciting new challenge to join a leading infrastructure team please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Job Title: IAM Consultant - Certificate Authority Need Active SC Clearance) Duration: 3 months, potential ext up to 12 months Location: UK based with some presence at client site in Warwick, Farnborough/Corsham, On site 4-5 days a week Job Description: Solution Design Architect/Subject Matter Expert (SME) with experience of designing and building Certificate Management services, Microsoft Active Directory Certificate Services (AD CS) public key infrastructure (PKI), use of On and off-line root certificate authority (CA) service as endpoint trust anchors and using certificates within a CNI environment. - Experience in installation, configuration and troubleshooting Windows root and issuing CA - Ability to create certificate template and issue certificates - Understanding of CA/PKI aspects, IIS, Windows OS, OSCP,cert validation points - Identity Access Management (IAM) experience including; User and Group Management, Security and Access Control, Directory Replication and Availability, use of Lightweight Directory Access Protocol (LDAP) and Kerberos Authentication. - Defining Group Policy and secure user/group integration with a Backup and Recovery Solution. The design will need to contain the steps for CA & IAM build and deployment into a CNI environment so SME level knowledge is required. - Conduct testing and reporting result"
20/05/2024
Project-based
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Job Title: IAM Consultant - Certificate Authority Need Active SC Clearance) Duration: 3 months, potential ext up to 12 months Location: UK based with some presence at client site in Warwick, Farnborough/Corsham, On site 4-5 days a week Job Description: Solution Design Architect/Subject Matter Expert (SME) with experience of designing and building Certificate Management services, Microsoft Active Directory Certificate Services (AD CS) public key infrastructure (PKI), use of On and off-line root certificate authority (CA) service as endpoint trust anchors and using certificates within a CNI environment. - Experience in installation, configuration and troubleshooting Windows root and issuing CA - Ability to create certificate template and issue certificates - Understanding of CA/PKI aspects, IIS, Windows OS, OSCP,cert validation points - Identity Access Management (IAM) experience including; User and Group Management, Security and Access Control, Directory Replication and Availability, use of Lightweight Directory Access Protocol (LDAP) and Kerberos Authentication. - Defining Group Policy and secure user/group integration with a Backup and Recovery Solution. The design will need to contain the steps for CA & IAM build and deployment into a CNI environment so SME level knowledge is required. - Conduct testing and reporting result"
We are looking for one "TMS-Treasury Management Delivery/Project Manager (SimCorp)" with pref' ROME-based to start ASAP an initial 6 MONTH contract (14 months is the expected project duration at present) for an international Org' -client in ROME . Possibility of extension based on performance and budget availability. English speaking environment. Our client is an international organisation and a great reference in any CV! SKILLS A university degree in Financial or Treasury Management, Information Technology, or related fields, preferably at postgraduate level or its equivalent. At least 12 years of relevant experience with track record in management of large Systems Implementation projects as well as of change management principles and techniques Experience leading multiple teams in multi-vendor environments Experience working with stakeholders directly including vendors, consultants and internal resources Solid experience in planning and prioritisation parallel work streams to achieve project goals Suitability to undertake the responsibilities mentioned above at the required level Proven management and leadership qualities Familiarity with delivering projects within the United Nation common system or international financial institution is desirable Delivery/Project management of a SimCorp Dimension or other large financial implementations would be an advantage International experience working in several countries. Recognized Project Management Qualification such as PMP or PRINCE2, or Agile project management is desirable. Expert skill in the use of Microsoft Office 365 productivity tools. Technical Knowledge and Skills Able to successfully deliver assigned projects within assigned scope, budget and schedule Knowledge of managing outsourced projects Able to utilize project management skills to lead project teams in resolving complex problems and issues using their technical and functional knowledge and skills in relation to delivering successful projects, Has strong functional knowledge of Treasury Management best practices. Applies a high level of technical expertise in the implementation and delivery of projects associated with Treasury Management Capacity to communicate effectively with different stakeholders. Ability in presenting IT concepts to a variety of stakeholders and have strong influencing and negotiating skills to ensure the most appropriate solution is delivered to meet the business needs Strong analytical thinking and problem-solving abilities paired with strong implementation skills and the ability to manage multiple assignments simultaneously Capacity to manage and lead remote teams Uses iterative Solution Development Life Cycle (SDLC) to manage and implement solution development activities Uses technical expertise to assist stakeholders within and outside UN-CLIENT BACKGROUND The TMS Project will implement a Treasury Management System within UN-CLIENT, addressing an existing gap in the Treasury system architecture. In December 2022, following an RFP, UN-CLIENT selected SimCorp as the favoured solution as Treasury Management System, covering aspects of Front, Middle and Back Office, while at the same time providing features to support to Risk Management and Accounting areas of the Institution. To this end, a Project Manager is required to manage the activities relating to the scoping design, implementation and testing and eventual post go-live support. The TMS Project Manager is responsible for running the project as directed by Director and Treasurer reporting periodically to the Project Steering Committee (PSC) by planning, directing, and coordinating the activities required to finalise scope, oversee design and implementation and ensure post go-live support for the delivered solution. The main responsibilities include the day-to-day management of the project teams; the monitoring and reporting on project progress and risks; the effective use of both UN-CLIENT and Simcorp assigned resources (people, budget, and systems); leading the UN-CLIENT cross functional team in the refining of the project scope and detail design of business requirements (functional and technical); coordination of the design, development and testing activities necessary for the integration of SimCorp and UN-CLIENT systems; identification of the best approach to the implementation; support UN-CLIENT in the selection and/or procurement of the development resources necessary to implement the project; and the establishment of effective partnerships with the Fund's departments and Divisions; liaise with Simcorp to ensure they meet their deliverables and monitor their performance Reporting to the Director and Treasurer, the incumbent ensures that the TMS Project produces the required products and outputs to the required standard of quality and within the specified constraints of time and cost. The position is highly visible and requires extensive communication and interaction with key stakeholders as well as an excellent understanding of IT system project implementation, system integration and data flows. Given the scope and nature of the activities, an experienced profile is required for the role. TASKS Planning and management of the activities of the TMS Project ensuring efficient usage of assigned resources and adequate alignment of scope, schedule, budget and human resources. Lead a distributed group of stakeholders across several teams and provide the vision required to deliver desired requirements of a large and complex system in line with the requirements and resources of UN-CLIENT. Ensure the application of industry best practices in programme and project management to achieve TMS objectives, outputs, and results within the defined time, cost, and quality constraints Liaise with PSC to identify and engage the appropriate personnel, when necessary, in a timely manner and appoint staff to the various project roles Liaise with various internal departments for the successful execution of TMS project/Communication to senior management Identify and resolve programme issues and manage conflicts which may arise between stakeholders Define strategies for and manage contingency planning and risk mitigation Monitoring and reporting on project progress, schedule, deliverables and risks, when required through regular reports, meetings, presentations and other communications. Prepare lessons learned and end project reports Work with the PSC to manage emerging requirements necessitating management decision or intervention and prepare and present proposals to the appropriate level of management Work with ICT to ensure that the system architecture of the SimCorp solution to be implemented for TMS is coherent with the overall ICT strategy and it is sustainable also in terms of support once the solution is in production Work with UN-CLIENT cross departmental team (Treasury, Risk, Controller's Office) to ensure that the project meets all requirements. Be responsible for an efficient and effective change control and for all the tools allowing an efficient governance of the programme Take responsibility for overall progress and use of resources and initiate corrective action where necessary. Approve deviations in terms of effort and planning that fall within the agreed tolerances (as specified by the agreed methodology) Support effective and timely communication to, and involvement of, relevant stakeholders including presentation to the audit committee. Proactive approach to pre-empt issues escalating and thinking through AWARD & OTHERS The applicants attention is drawn to the important role that the curriculum vitae plays in the evaluation. Curriculum vitae shall illustrate the specific skills relevant to this request. PROVIDER infom consulting is an owner-managed business and consulting firm in Germany. The company supports large corporations and larger SMEs across Europe. Our IT experts are realising projects for the European Institutions, United Nations agencies, International Organisations and multinational companies across the EU. TO DO - QUESTIONS INTRO': Can you please provide a 3-4 sentences summary how you fit It's a kind of Intro' to be used for your presentation to the UN-client, which will help a lot. RATE(S): Can you tell me your daily rates (all in) in Euro, please? For ON-site work and OFF-site work? Please provide guidance on your plan regarding on-site and off-site arrangements. CV: Can you send your CV in DOC-format highlighting the specific skills relevant to this request, please? Can you tell me your availability (or notice period), please? We need one single key-consultant, who needs to be available full-time, 8 hrs per working day, Mon-Fri, 40 hrs/week, to work with team.
20/05/2024
Project-based
We are looking for one "TMS-Treasury Management Delivery/Project Manager (SimCorp)" with pref' ROME-based to start ASAP an initial 6 MONTH contract (14 months is the expected project duration at present) for an international Org' -client in ROME . Possibility of extension based on performance and budget availability. English speaking environment. Our client is an international organisation and a great reference in any CV! SKILLS A university degree in Financial or Treasury Management, Information Technology, or related fields, preferably at postgraduate level or its equivalent. At least 12 years of relevant experience with track record in management of large Systems Implementation projects as well as of change management principles and techniques Experience leading multiple teams in multi-vendor environments Experience working with stakeholders directly including vendors, consultants and internal resources Solid experience in planning and prioritisation parallel work streams to achieve project goals Suitability to undertake the responsibilities mentioned above at the required level Proven management and leadership qualities Familiarity with delivering projects within the United Nation common system or international financial institution is desirable Delivery/Project management of a SimCorp Dimension or other large financial implementations would be an advantage International experience working in several countries. Recognized Project Management Qualification such as PMP or PRINCE2, or Agile project management is desirable. Expert skill in the use of Microsoft Office 365 productivity tools. Technical Knowledge and Skills Able to successfully deliver assigned projects within assigned scope, budget and schedule Knowledge of managing outsourced projects Able to utilize project management skills to lead project teams in resolving complex problems and issues using their technical and functional knowledge and skills in relation to delivering successful projects, Has strong functional knowledge of Treasury Management best practices. Applies a high level of technical expertise in the implementation and delivery of projects associated with Treasury Management Capacity to communicate effectively with different stakeholders. Ability in presenting IT concepts to a variety of stakeholders and have strong influencing and negotiating skills to ensure the most appropriate solution is delivered to meet the business needs Strong analytical thinking and problem-solving abilities paired with strong implementation skills and the ability to manage multiple assignments simultaneously Capacity to manage and lead remote teams Uses iterative Solution Development Life Cycle (SDLC) to manage and implement solution development activities Uses technical expertise to assist stakeholders within and outside UN-CLIENT BACKGROUND The TMS Project will implement a Treasury Management System within UN-CLIENT, addressing an existing gap in the Treasury system architecture. In December 2022, following an RFP, UN-CLIENT selected SimCorp as the favoured solution as Treasury Management System, covering aspects of Front, Middle and Back Office, while at the same time providing features to support to Risk Management and Accounting areas of the Institution. To this end, a Project Manager is required to manage the activities relating to the scoping design, implementation and testing and eventual post go-live support. The TMS Project Manager is responsible for running the project as directed by Director and Treasurer reporting periodically to the Project Steering Committee (PSC) by planning, directing, and coordinating the activities required to finalise scope, oversee design and implementation and ensure post go-live support for the delivered solution. The main responsibilities include the day-to-day management of the project teams; the monitoring and reporting on project progress and risks; the effective use of both UN-CLIENT and Simcorp assigned resources (people, budget, and systems); leading the UN-CLIENT cross functional team in the refining of the project scope and detail design of business requirements (functional and technical); coordination of the design, development and testing activities necessary for the integration of SimCorp and UN-CLIENT systems; identification of the best approach to the implementation; support UN-CLIENT in the selection and/or procurement of the development resources necessary to implement the project; and the establishment of effective partnerships with the Fund's departments and Divisions; liaise with Simcorp to ensure they meet their deliverables and monitor their performance Reporting to the Director and Treasurer, the incumbent ensures that the TMS Project produces the required products and outputs to the required standard of quality and within the specified constraints of time and cost. The position is highly visible and requires extensive communication and interaction with key stakeholders as well as an excellent understanding of IT system project implementation, system integration and data flows. Given the scope and nature of the activities, an experienced profile is required for the role. TASKS Planning and management of the activities of the TMS Project ensuring efficient usage of assigned resources and adequate alignment of scope, schedule, budget and human resources. Lead a distributed group of stakeholders across several teams and provide the vision required to deliver desired requirements of a large and complex system in line with the requirements and resources of UN-CLIENT. Ensure the application of industry best practices in programme and project management to achieve TMS objectives, outputs, and results within the defined time, cost, and quality constraints Liaise with PSC to identify and engage the appropriate personnel, when necessary, in a timely manner and appoint staff to the various project roles Liaise with various internal departments for the successful execution of TMS project/Communication to senior management Identify and resolve programme issues and manage conflicts which may arise between stakeholders Define strategies for and manage contingency planning and risk mitigation Monitoring and reporting on project progress, schedule, deliverables and risks, when required through regular reports, meetings, presentations and other communications. Prepare lessons learned and end project reports Work with the PSC to manage emerging requirements necessitating management decision or intervention and prepare and present proposals to the appropriate level of management Work with ICT to ensure that the system architecture of the SimCorp solution to be implemented for TMS is coherent with the overall ICT strategy and it is sustainable also in terms of support once the solution is in production Work with UN-CLIENT cross departmental team (Treasury, Risk, Controller's Office) to ensure that the project meets all requirements. Be responsible for an efficient and effective change control and for all the tools allowing an efficient governance of the programme Take responsibility for overall progress and use of resources and initiate corrective action where necessary. Approve deviations in terms of effort and planning that fall within the agreed tolerances (as specified by the agreed methodology) Support effective and timely communication to, and involvement of, relevant stakeholders including presentation to the audit committee. Proactive approach to pre-empt issues escalating and thinking through AWARD & OTHERS The applicants attention is drawn to the important role that the curriculum vitae plays in the evaluation. Curriculum vitae shall illustrate the specific skills relevant to this request. PROVIDER infom consulting is an owner-managed business and consulting firm in Germany. The company supports large corporations and larger SMEs across Europe. Our IT experts are realising projects for the European Institutions, United Nations agencies, International Organisations and multinational companies across the EU. TO DO - QUESTIONS INTRO': Can you please provide a 3-4 sentences summary how you fit It's a kind of Intro' to be used for your presentation to the UN-client, which will help a lot. RATE(S): Can you tell me your daily rates (all in) in Euro, please? For ON-site work and OFF-site work? Please provide guidance on your plan regarding on-site and off-site arrangements. CV: Can you send your CV in DOC-format highlighting the specific skills relevant to this request, please? Can you tell me your availability (or notice period), please? We need one single key-consultant, who needs to be available full-time, 8 hrs per working day, Mon-Fri, 40 hrs/week, to work with team.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: SIEM/Incident SME (Need Active DV Clearance) Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months Role Description: Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
17/05/2024
Project-based
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: SIEM/Incident SME (Need Active DV Clearance) Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months Role Description: Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
An industry-leading building services consultancy is seeking an Associate Director to join their dynamic Electrical Engineering team in Glasgow. This is an exciting opportunity for an experienced and ambitious individual to take on a leadership role and contribute to the growth and success of the company. Roles and Responsibilities: Lead and manage a team of electrical engineers, providing technical guidance and mentorship Oversee the delivery of high-quality electrical designs across a diverse project portfolio Develop and maintain strong client relationships, ensuring client satisfaction and generating repeat business Contribute to the development and implementation of the company's strategic objectives Identify and pursue new business opportunities, collaborating with other disciplines and offices Ensure compliance with quality standards, health and safety regulations, and company policies Manage project budgets, resources, and timelines, ensuring profitable project delivery Represent the company at industry events, conferences, and client meetings Drive innovation and continuous improvement within the electrical engineering team Requirements: Chartered Engineer status with a relevant professional body (eg, CIBSE, IET) Proven track record of leading and managing electrical engineering teams in a consultancy environment Extensive experience in electrical building services design across a range of sectors Strong technical knowledge and understanding of current industry standards and regulations Excellent leadership, communication, and interpersonal skills Ability to develop and maintain client relationships at a senior level Commercial acumen and understanding of financial management principles Commitment to professional development and knowledge sharing Proficiency in relevant design software and tools Benefits: Highly competitive salary, commensurate with experience and qualifications Comprehensive benefits package, including private healthcare, pension, and generous annual leave Opportunities for career progression and professional development within a growing company Exposure to high-profile, innovative projects across various sectors Collaborative and supportive work environment with a focus on work-life balance Flexible working arrangements, including option for hybrid working and flexible hours Company support for professional memberships and ongoing training Opportunities to contribute to the company's corporate social responsibility initiatives
17/05/2024
Full time
An industry-leading building services consultancy is seeking an Associate Director to join their dynamic Electrical Engineering team in Glasgow. This is an exciting opportunity for an experienced and ambitious individual to take on a leadership role and contribute to the growth and success of the company. Roles and Responsibilities: Lead and manage a team of electrical engineers, providing technical guidance and mentorship Oversee the delivery of high-quality electrical designs across a diverse project portfolio Develop and maintain strong client relationships, ensuring client satisfaction and generating repeat business Contribute to the development and implementation of the company's strategic objectives Identify and pursue new business opportunities, collaborating with other disciplines and offices Ensure compliance with quality standards, health and safety regulations, and company policies Manage project budgets, resources, and timelines, ensuring profitable project delivery Represent the company at industry events, conferences, and client meetings Drive innovation and continuous improvement within the electrical engineering team Requirements: Chartered Engineer status with a relevant professional body (eg, CIBSE, IET) Proven track record of leading and managing electrical engineering teams in a consultancy environment Extensive experience in electrical building services design across a range of sectors Strong technical knowledge and understanding of current industry standards and regulations Excellent leadership, communication, and interpersonal skills Ability to develop and maintain client relationships at a senior level Commercial acumen and understanding of financial management principles Commitment to professional development and knowledge sharing Proficiency in relevant design software and tools Benefits: Highly competitive salary, commensurate with experience and qualifications Comprehensive benefits package, including private healthcare, pension, and generous annual leave Opportunities for career progression and professional development within a growing company Exposure to high-profile, innovative projects across various sectors Collaborative and supportive work environment with a focus on work-life balance Flexible working arrangements, including option for hybrid working and flexible hours Company support for professional memberships and ongoing training Opportunities to contribute to the company's corporate social responsibility initiatives
Data Protection Lawyer A leading tech company are looking for a Data Protection Lawyer to join their team on a permanent basis. This will be hybrid working in Peterborough/remote (10 days per month in the office) You will report to the Associate Director Legal Regulatory within the Risk Compliance and Legal team, you will be required to provide data protection legal advice and support across the business at all levels on a wide range of exciting initiatives to help deliver the business objectives. In addition, you'll play a leading role in the management and development of the Legal Regulatory team which includes the Data Protection Office. What will it take? . 5+ PQE lawyer with strong technical data protection and ePrivacy experience gained in-house or in a reputable business . Experience in providing data protection advice and guidance in relation to some or all of the following: - Advising on the data protection aspects and risks of new product development - ePrivacy/digital marketing - Data transfers (including international) - Data protection impact assessments - Personal data security breaches and subsequent remediation - Implementing data protection policies and procedures, including training - Subject rights requests . Up to date with emerging data protection and privacy regulation, case law and regulatory guidance . Good communication skills, and particularly able to communicate legal issues in plain English.
16/05/2024
Full time
Data Protection Lawyer A leading tech company are looking for a Data Protection Lawyer to join their team on a permanent basis. This will be hybrid working in Peterborough/remote (10 days per month in the office) You will report to the Associate Director Legal Regulatory within the Risk Compliance and Legal team, you will be required to provide data protection legal advice and support across the business at all levels on a wide range of exciting initiatives to help deliver the business objectives. In addition, you'll play a leading role in the management and development of the Legal Regulatory team which includes the Data Protection Office. What will it take? . 5+ PQE lawyer with strong technical data protection and ePrivacy experience gained in-house or in a reputable business . Experience in providing data protection advice and guidance in relation to some or all of the following: - Advising on the data protection aspects and risks of new product development - ePrivacy/digital marketing - Data transfers (including international) - Data protection impact assessments - Personal data security breaches and subsequent remediation - Implementing data protection policies and procedures, including training - Subject rights requests . Up to date with emerging data protection and privacy regulation, case law and regulatory guidance . Good communication skills, and particularly able to communicate legal issues in plain English.
Our Client South West based, Our Client is a highly respected architectural metal-work and bespoke steel fabrication specialist. Working across the region, they provide high quality products and services to main contractors, developers, and private clients. Estimator A unique and exciting opportunity has arisen to join their sales and estimating team. You will have experience as an estimator having worked in the metalwork or associated construction industry trade for a minimum of 3 years. Role description: Reporting to the Sales & Estimating Director, you will be working in their busy estimating and sales office producing accurate quotations and negotiating tenders with clients. You will also be working closely with the contracts and design department at both pre-submission and post Order stage. Responsibilities include: Estimating architectural metalwork, secondary steelwork & structural steel Reading architects and engineers drawings Material takes off's and tender summaries Obtaining supplier quotations and negotiating Preparing quotations to meet deadlines Drafting detailed quotations Liaising with clients to discuss the tender submissions Sales follow ups of Quotations Attending client meetings and occasional site visits Working with other departments The right candidate will have the following: Understanding of metalwork or associated trade Background in construction industry or manufacturing Good IT skills Excellent communicator Ably to work well in a team and with good people skills Ably to work on own initiative and self-motivated Good planning and organisational skills Positive attitude to work with attention to detail Flexible approach and able to prioritise tasks You may also have experience as a QS or sales negotiating Salary Depending on experience Company Pension Scheme Free Parking
16/05/2024
Full time
Our Client South West based, Our Client is a highly respected architectural metal-work and bespoke steel fabrication specialist. Working across the region, they provide high quality products and services to main contractors, developers, and private clients. Estimator A unique and exciting opportunity has arisen to join their sales and estimating team. You will have experience as an estimator having worked in the metalwork or associated construction industry trade for a minimum of 3 years. Role description: Reporting to the Sales & Estimating Director, you will be working in their busy estimating and sales office producing accurate quotations and negotiating tenders with clients. You will also be working closely with the contracts and design department at both pre-submission and post Order stage. Responsibilities include: Estimating architectural metalwork, secondary steelwork & structural steel Reading architects and engineers drawings Material takes off's and tender summaries Obtaining supplier quotations and negotiating Preparing quotations to meet deadlines Drafting detailed quotations Liaising with clients to discuss the tender submissions Sales follow ups of Quotations Attending client meetings and occasional site visits Working with other departments The right candidate will have the following: Understanding of metalwork or associated trade Background in construction industry or manufacturing Good IT skills Excellent communicator Ably to work well in a team and with good people skills Ably to work on own initiative and self-motivated Good planning and organisational skills Positive attitude to work with attention to detail Flexible approach and able to prioritise tasks You may also have experience as a QS or sales negotiating Salary Depending on experience Company Pension Scheme Free Parking
Role: Senior RAM S Engineer Job Description Summary We are seeking a highly motivated and experienced Senior RAM Engineer to join our global team of experts in high voltage electrical equipment, with a particular focus on HVDC systems. As the Senior RAM Engineer, you will be responsible for coordinating, creating, verifying, and validating the reliability, availability, and maintainability models for HVDC systems and subsystems, managing risks and opportunities that affect the systems throughout their life cycle. You will also play a key role in enforcing engineering discipline and quality processes, developing and industrializing engineering solutions, promoting health and safety practices, and providing technical leadership and training to customers and colleagues Job Description Essential Responsibilities Reliability, Availability and Maintainability Studies and Management (RAMS) Defining RAMS study structure and processes; Monitoring the performance of RAMS processes; Tracking and reporting to the Project Directorate the status of the action list; Participating in cross functional Gate Reviews and present RAMS dashboard; Chairing the 3D Model Review for Maintainability; Leading the engagement with OEMs and relevant interface control documents; Leading the engagement, the Logistics Interface; Leading Maintainability deliverables and Consultant; Leading Workshop Consultants. Escalating to the GSC Technical Director and SHE Coordinator all SHE related risks. Health and Safety Actively and routinely promote the identification of hazards and EHS risks in own area of operation and objects of design. Provide insight to leaders, customers and colleagues with respect to own safety and systems and product integrity. Qualifications/Requirements Bachelor of Engineering degree or equivalent from an accredited institution Proven substantial knowledge and practical experience in performing reliability engineering in different industries Desired Characteristics Education Preferably educated with a Master of Engineering degree or above from an accredited institution or equivalent knowledge or professional experience. Technical Domain Competencies At least proficient in the following areas: HVDC domain knowledge Reliability, availability and maintainability (RAM) assessment and management Reliability Block Diagrams (RBD Failure Mode & Effects Analysis (FMEA) Knowledgeable in the following areas: Reliability Centred Maintenance Systems Engineering HazId HazOp Electrical power systems modelling and analysis Offshore electrical power facilities Engineering Management Competencies: Planning: Ability to plan and manage team work. Risk and Opportunity Management: Proactively identifies and manages risks, issues and opportunities. Acquisition and Supply: Generation of work products associated with acquiring or providing products or services. Knowledge Management: capable of deploying training, coaching and mentoring to customers and colleagues. Proactively records and disseminates return of experience. Technical Domain Tools knowledge: Proficient use of: Reliability and availability assessment modelling by Markov and Monte Carlo methods (Reliasoft, Isograph); Professional Competencies Communications: Strong oral and written communication skills in English. Critical Thinking: Capable of structuring defendable arguments, evidence, assumptions and decisions. Ethics and Professionalism: Personal commitment to professional standards, recognising obligations to society, the profession and the environment. Technical Leadership: understanding of customer need, problem solving, creativity and innovation, relationship management, operational oversight and accountability, engineering instinct. Negotiation: capable of resolving points of difference, to gain advantage for an individual or collective, or crafting outcomes to satisfy various interests. Team Dynamics and Facilitation: Ability to be a team player and to facilitate groups interactions. Characteristic: Self-motivating, proactive and results driven approach. Curious, resilient and willing to learn. Able to work to deadlines with high quality, sense of urgency and delivery. Focused on delivering value to customers. Strong problem-solving and root cause identification skills. Willingness to travel as required.
16/05/2024
Project-based
Role: Senior RAM S Engineer Job Description Summary We are seeking a highly motivated and experienced Senior RAM Engineer to join our global team of experts in high voltage electrical equipment, with a particular focus on HVDC systems. As the Senior RAM Engineer, you will be responsible for coordinating, creating, verifying, and validating the reliability, availability, and maintainability models for HVDC systems and subsystems, managing risks and opportunities that affect the systems throughout their life cycle. You will also play a key role in enforcing engineering discipline and quality processes, developing and industrializing engineering solutions, promoting health and safety practices, and providing technical leadership and training to customers and colleagues Job Description Essential Responsibilities Reliability, Availability and Maintainability Studies and Management (RAMS) Defining RAMS study structure and processes; Monitoring the performance of RAMS processes; Tracking and reporting to the Project Directorate the status of the action list; Participating in cross functional Gate Reviews and present RAMS dashboard; Chairing the 3D Model Review for Maintainability; Leading the engagement with OEMs and relevant interface control documents; Leading the engagement, the Logistics Interface; Leading Maintainability deliverables and Consultant; Leading Workshop Consultants. Escalating to the GSC Technical Director and SHE Coordinator all SHE related risks. Health and Safety Actively and routinely promote the identification of hazards and EHS risks in own area of operation and objects of design. Provide insight to leaders, customers and colleagues with respect to own safety and systems and product integrity. Qualifications/Requirements Bachelor of Engineering degree or equivalent from an accredited institution Proven substantial knowledge and practical experience in performing reliability engineering in different industries Desired Characteristics Education Preferably educated with a Master of Engineering degree or above from an accredited institution or equivalent knowledge or professional experience. Technical Domain Competencies At least proficient in the following areas: HVDC domain knowledge Reliability, availability and maintainability (RAM) assessment and management Reliability Block Diagrams (RBD Failure Mode & Effects Analysis (FMEA) Knowledgeable in the following areas: Reliability Centred Maintenance Systems Engineering HazId HazOp Electrical power systems modelling and analysis Offshore electrical power facilities Engineering Management Competencies: Planning: Ability to plan and manage team work. Risk and Opportunity Management: Proactively identifies and manages risks, issues and opportunities. Acquisition and Supply: Generation of work products associated with acquiring or providing products or services. Knowledge Management: capable of deploying training, coaching and mentoring to customers and colleagues. Proactively records and disseminates return of experience. Technical Domain Tools knowledge: Proficient use of: Reliability and availability assessment modelling by Markov and Monte Carlo methods (Reliasoft, Isograph); Professional Competencies Communications: Strong oral and written communication skills in English. Critical Thinking: Capable of structuring defendable arguments, evidence, assumptions and decisions. Ethics and Professionalism: Personal commitment to professional standards, recognising obligations to society, the profession and the environment. Technical Leadership: understanding of customer need, problem solving, creativity and innovation, relationship management, operational oversight and accountability, engineering instinct. Negotiation: capable of resolving points of difference, to gain advantage for an individual or collective, or crafting outcomes to satisfy various interests. Team Dynamics and Facilitation: Ability to be a team player and to facilitate groups interactions. Characteristic: Self-motivating, proactive and results driven approach. Curious, resilient and willing to learn. Able to work to deadlines with high quality, sense of urgency and delivery. Focused on delivering value to customers. Strong problem-solving and root cause identification skills. Willingness to travel as required.
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Job title: Senior Desktop Engineer Salary: £30,000 - £33,000 Location: Ipswich This is a Full time permanent position working 37.5-hours per week, Monday - Friday 09:00 - 17:15. The successful candidate must be willing to undergo the client's security clearance process. Responsibilities: * Fully site-based * Able to deal directly with clients in a friendly and highly confident manner * Troubleshooting known and unknown hardware/software issues related to desktop, laptops, workstations, peripherals, and associated accessories * Experienced with VIP support and engagement * Troubleshooting known and unknown software issues related to Windows platforms * Building and deploying PCs, patch network points, troubleshooting printer problems, supporting standard software packages, and other general "IT" tasks * Providing 'Hands and Eyes' support to other teams * Processing documentation and knowledge base article management * Using the onsite call management system to update calls and close calls to specific SLAs * Perform stock control & asset management - ensuring the desktops and laptops are correctly added to the database and the status updated when applicable Essential skills/qualifications: * Knowledge of current and past Microsoft windows operating systems * Knowledge and experience with Microsoft 365 (Word, Excel, PowerPoint, Outlook, OneDrive, Intune etc) * Experience in Windows imaging techniques (Network & Local) * Microsoft Active Directory & Azure Active Directory knowledge * Remote desktop support tools * Desktop/printer configurations * Excellent interpersonal & communication skills * Must be able to work independently and part of a team. * Experience and technical knowledge of IT, PC's/peripherals, and their architecture * Break fix, IMACs, Incidents, Projects * Experience with Ticket Management * Comfortable with liaising and working alongside 3rd Parties * Display flexibility and the ability to manage your day effectively Desirable skills/qualifications: * ITIL Foundation * 3 - 4 years experience supporting Windows environment * Windows certification As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advice covering a range of areas including mental health and financial support if you have the skills required apply now "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
15/05/2024
Full time
Job title: Senior Desktop Engineer Salary: £30,000 - £33,000 Location: Ipswich This is a Full time permanent position working 37.5-hours per week, Monday - Friday 09:00 - 17:15. The successful candidate must be willing to undergo the client's security clearance process. Responsibilities: * Fully site-based * Able to deal directly with clients in a friendly and highly confident manner * Troubleshooting known and unknown hardware/software issues related to desktop, laptops, workstations, peripherals, and associated accessories * Experienced with VIP support and engagement * Troubleshooting known and unknown software issues related to Windows platforms * Building and deploying PCs, patch network points, troubleshooting printer problems, supporting standard software packages, and other general "IT" tasks * Providing 'Hands and Eyes' support to other teams * Processing documentation and knowledge base article management * Using the onsite call management system to update calls and close calls to specific SLAs * Perform stock control & asset management - ensuring the desktops and laptops are correctly added to the database and the status updated when applicable Essential skills/qualifications: * Knowledge of current and past Microsoft windows operating systems * Knowledge and experience with Microsoft 365 (Word, Excel, PowerPoint, Outlook, OneDrive, Intune etc) * Experience in Windows imaging techniques (Network & Local) * Microsoft Active Directory & Azure Active Directory knowledge * Remote desktop support tools * Desktop/printer configurations * Excellent interpersonal & communication skills * Must be able to work independently and part of a team. * Experience and technical knowledge of IT, PC's/peripherals, and their architecture * Break fix, IMACs, Incidents, Projects * Experience with Ticket Management * Comfortable with liaising and working alongside 3rd Parties * Display flexibility and the ability to manage your day effectively Desirable skills/qualifications: * ITIL Foundation * 3 - 4 years experience supporting Windows environment * Windows certification As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advice covering a range of areas including mental health and financial support if you have the skills required apply now "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.