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.
02/06/2024
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.
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
02/06/2024
Full time
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
02/06/2024
Full time
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
*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.
01/06/2024
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.
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Job Summary: We are seeking a dedicated and experienced Foreman to oversee our projects. The ideal candidate is a natural problem solver who enjoys working outdoors, has significant trade experience, and demonstrates excellent leadership and project management skills. This role requires someone who can see the big picture, ensure projects run both on time and on budget, maintain high standards of health and safety and creates a vibrant and positive atmosphere for a long term team of contractors. Essential Skills and Experience: Minimum 5 years of experience as a joiner or carpenter (or possibly some other trade) Minimum 2 years of experience supervising or managing others. All round understanding of what it would take to work with other contractors to help deliver a project; 90% of which would be garden rooms. Strong planning and coordination skills to ensure projects run smoothly. Natural problem solver with the ability to keep the team working efficiently. Excellent leadership skills, capable of coaching and supporting team members. Self-motivated and directed, with a focus on project completion. Friendly and sociable, committed to both the team and company Directors. Driver with own vehicle. High standards of project management and resource coordination. Ability to make commercially sound decisions that priortise the companies goals. Conscientious attitude, reliability, and consistency. Adherence to health and safety standards, maintaining tidy and organized sites. No BS approach to getting things done, and able to discern when others are trying to pull a fast one. Desirable Skills: Experience working with external building structures, such as cabins and pods. Possession of own van. Wide network of tradespeople (e.g., electricians, plumbers). Willingness to work on remote jobs when necessary. Ability to generate reports using company software and identify areas for improvement. Experience in recruiting and interviewing team members. Responsibilities: Overseeing day-to-day operations on the construction site. Ensuring materials and tools are available as needed. Coaching and mentoring younger team members. Maintaining necessary standards of health and safety on site. Ensuring projects are completed on time, on budget, and to a high standard. Maintaining professionalism and representing the company positively at all times. Generating reports and providing feedback for continuous improvement. Values: Our company values are integral to our operations and decision-making processes. We love creating a fun, inclusive and positive culture where we celebrate what we do, yet have each others backs for challenges outside of work. We love creating a sense of tribe; think an SAS squad that can hit the ground running and smash a project out of the work seriously impressing customers. We seek individuals who align with our emphasis on trustworthiness, integrity, honesty, and teamwork. We re passionate about what we do, and work with those who are proper grafters and love to celebrate at the end of the week and for special occasions. Application Process: Interested candidates are encouraged to apply directly. We will be conducting first and second interviews in the coming week with a starting date on the 7th June for an exciting new project starting on the 10th June. It will be continuous work. HQ is based in Southbourne, Bournemouth. How to Apply: Please send your CV and a cover letter detailing your experience and suitability for the role We look forward to receiving your application and discussing how you can become a valuable part of our team. Let's do this!
01/06/2024
Full time
Job Summary: We are seeking a dedicated and experienced Foreman to oversee our projects. The ideal candidate is a natural problem solver who enjoys working outdoors, has significant trade experience, and demonstrates excellent leadership and project management skills. This role requires someone who can see the big picture, ensure projects run both on time and on budget, maintain high standards of health and safety and creates a vibrant and positive atmosphere for a long term team of contractors. Essential Skills and Experience: Minimum 5 years of experience as a joiner or carpenter (or possibly some other trade) Minimum 2 years of experience supervising or managing others. All round understanding of what it would take to work with other contractors to help deliver a project; 90% of which would be garden rooms. Strong planning and coordination skills to ensure projects run smoothly. Natural problem solver with the ability to keep the team working efficiently. Excellent leadership skills, capable of coaching and supporting team members. Self-motivated and directed, with a focus on project completion. Friendly and sociable, committed to both the team and company Directors. Driver with own vehicle. High standards of project management and resource coordination. Ability to make commercially sound decisions that priortise the companies goals. Conscientious attitude, reliability, and consistency. Adherence to health and safety standards, maintaining tidy and organized sites. No BS approach to getting things done, and able to discern when others are trying to pull a fast one. Desirable Skills: Experience working with external building structures, such as cabins and pods. Possession of own van. Wide network of tradespeople (e.g., electricians, plumbers). Willingness to work on remote jobs when necessary. Ability to generate reports using company software and identify areas for improvement. Experience in recruiting and interviewing team members. Responsibilities: Overseeing day-to-day operations on the construction site. Ensuring materials and tools are available as needed. Coaching and mentoring younger team members. Maintaining necessary standards of health and safety on site. Ensuring projects are completed on time, on budget, and to a high standard. Maintaining professionalism and representing the company positively at all times. Generating reports and providing feedback for continuous improvement. Values: Our company values are integral to our operations and decision-making processes. We love creating a fun, inclusive and positive culture where we celebrate what we do, yet have each others backs for challenges outside of work. We love creating a sense of tribe; think an SAS squad that can hit the ground running and smash a project out of the work seriously impressing customers. We seek individuals who align with our emphasis on trustworthiness, integrity, honesty, and teamwork. We re passionate about what we do, and work with those who are proper grafters and love to celebrate at the end of the week and for special occasions. Application Process: Interested candidates are encouraged to apply directly. We will be conducting first and second interviews in the coming week with a starting date on the 7th June for an exciting new project starting on the 10th June. It will be continuous work. HQ is based in Southbourne, Bournemouth. How to Apply: Please send your CV and a cover letter detailing your experience and suitability for the role We look forward to receiving your application and discussing how you can become a valuable part of our team. Let's do this!
Key Responsibilities: Full stack software development and management of the development life cycle. Innovative, understanding, and problem-solving mindset of complex scenarios. Development Value: Experience with full stack software development (front and Back End with DB/APIs). Direct stakeholder engagement and full software development life cycle management. Opportunity to research, develop and implement prototypes/solutions using new technologies. Personal and technical growth is fostered under the mentorship of a group of vastly experienced, technically focused colleagues. Operating in an agile and multi-tasking environment. Technical Skills: Proficient working with source code repositories (Azure and/or GIT). Excellent understanding of Object Orientated programming and Scripting. Experience writing complex SQL queries (Sybase advantageous). Proficient with UNIX/Linux operating systems/commands. Understanding of API Services (SOAP, REST, Graph). Programming Language: Proficient in Java EE with OpenJDK with Spring 4.0+ Framework with Spring Boot/Wildfly web Servers (or similar) with Angular 14+
01/06/2024
Full time
Key Responsibilities: Full stack software development and management of the development life cycle. Innovative, understanding, and problem-solving mindset of complex scenarios. Development Value: Experience with full stack software development (front and Back End with DB/APIs). Direct stakeholder engagement and full software development life cycle management. Opportunity to research, develop and implement prototypes/solutions using new technologies. Personal and technical growth is fostered under the mentorship of a group of vastly experienced, technically focused colleagues. Operating in an agile and multi-tasking environment. Technical Skills: Proficient working with source code repositories (Azure and/or GIT). Excellent understanding of Object Orientated programming and Scripting. Experience writing complex SQL queries (Sybase advantageous). Proficient with UNIX/Linux operating systems/commands. Understanding of API Services (SOAP, REST, Graph). Programming Language: Proficient in Java EE with OpenJDK with Spring 4.0+ Framework with Spring Boot/Wildfly web Servers (or similar) with Angular 14+
This position involves collaborating with a regional/global team, and therefore, short business trips that last up to one week may be necessary. The role encompasses both Dev and Ops, including participation in an on-call rotation. (MUST BE BASED IN DUBLIN) Job Responsibilities: Develop and execute changes on the client network. Lead network projects relating to network deployment/implementation, network scaling, technology refresh, application of best practices, and network optimization. Troubleshoot network routing, interconnectivity, performance, and configuration issues. Preserve standards within the networking toolset, ensuring full compliance with those standards and policies. Provide solutions and processes that are simple, long-lasting, and can be replicated. What we are looking for: Experience in working with VPN solutions in general and good IPSEC knowledge Thorough understanding of TCP/IP Networking, IP routing and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, ACLs, IPSEC, DNS, etc. Any skills related to automation/software development/programming are a welcomed, but not mandatory Experience in working with Cloud or Network Fabric technologies (VXLAN, Fabricpath) are a bonus The right candidate must have full right to live and work in Dublin, Ireland. Please send your up to date CV or let me know if you would like to have a chat about the role.
01/06/2024
Project-based
This position involves collaborating with a regional/global team, and therefore, short business trips that last up to one week may be necessary. The role encompasses both Dev and Ops, including participation in an on-call rotation. (MUST BE BASED IN DUBLIN) Job Responsibilities: Develop and execute changes on the client network. Lead network projects relating to network deployment/implementation, network scaling, technology refresh, application of best practices, and network optimization. Troubleshoot network routing, interconnectivity, performance, and configuration issues. Preserve standards within the networking toolset, ensuring full compliance with those standards and policies. Provide solutions and processes that are simple, long-lasting, and can be replicated. What we are looking for: Experience in working with VPN solutions in general and good IPSEC knowledge Thorough understanding of TCP/IP Networking, IP routing and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, ACLs, IPSEC, DNS, etc. Any skills related to automation/software development/programming are a welcomed, but not mandatory Experience in working with Cloud or Network Fabric technologies (VXLAN, Fabricpath) are a bonus The right candidate must have full right to live and work in Dublin, Ireland. Please send your up to date CV or let me know if you would like to have a chat about the role.
Summary: This position is expected to manage and/or support initiatives for continuous improvement in current and future CargoWise modules and projects as determined by the company. The successful candidate for this role will take ownership of the development and deployment of these projects, communicate on progress, and meet deadlines as decided by the company. This position is critical to the continued efficient use of our CargoWise operating system. Responsibilities: Help develop project plans for assigned projects Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project Support implementation of new features and training with roll out Handle multiple projects simultaneously, meeting deadlines Analyze project data & risk, report findings, and propose solutions Provide administrative support as needed Work on tight deadlines and changing priorities Ensure stakeholder views are managed toward the best solution Work independently and as part of a team CargoWise documentation Requirements: Minimum 2 years CargoWise Experience 2 years of SQL Back End/data base skills 2 years of workflows programming and debugging. 2 years of experience with creating and modifying documents within Cargowise. 2 years of experience of Air & Ocean Import/Export Preferred skills Excellent Communication & listening skills Planning & time management skills Deadline management Prioritization Intermediate proficiency in Microsoft Excel
01/06/2024
Full time
Summary: This position is expected to manage and/or support initiatives for continuous improvement in current and future CargoWise modules and projects as determined by the company. The successful candidate for this role will take ownership of the development and deployment of these projects, communicate on progress, and meet deadlines as decided by the company. This position is critical to the continued efficient use of our CargoWise operating system. Responsibilities: Help develop project plans for assigned projects Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project Support implementation of new features and training with roll out Handle multiple projects simultaneously, meeting deadlines Analyze project data & risk, report findings, and propose solutions Provide administrative support as needed Work on tight deadlines and changing priorities Ensure stakeholder views are managed toward the best solution Work independently and as part of a team CargoWise documentation Requirements: Minimum 2 years CargoWise Experience 2 years of SQL Back End/data base skills 2 years of workflows programming and debugging. 2 years of experience with creating and modifying documents within Cargowise. 2 years of experience of Air & Ocean Import/Export Preferred skills Excellent Communication & listening skills Planning & time management skills Deadline management Prioritization Intermediate proficiency in Microsoft Excel
Request Technology - Craig Johnson
Chicago, Illinois
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
31/05/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* Prestigious Global Firm is currently seeking a Senior Legal Presentation Designer with Adobe Creative Suite experience. Candidate will deliver superior graphical production support and consultation to attorneys, legal assistants and expert witnesses. They are experts regarding the use of specialized graphics as visual aids to assist juries, judges, arbitrators and mock juries in matters involving complex litigation. This position requires at least 5 years of technical experience providing some combination of graphics creation, support at pre-trial and at-trial functions. The Senior Presentation Designer must be self-motivated, diligent, disciplined, resourceful, organized, be able to multi-task, and operate especially well under time constraints and similar demanding influences. Superior written and oral communication skills are required, as are the abilities to cultivate customer relationships and foster collaborative relationships with attorneys, legal assistants and colleagues. Responsibilities: Work closely with trial teams to develop graphic recommendations for effective visual communication of case themes. Conceptualize, design, revise, and oversee completion of high-level graphics, illustrations, and animations. Create, revise and reformat PowerPoint presentations, developing and maintaining litigation-specific formatting, style, and consistency. Provide on-site trial support, serving as point of contact and directing workflow when multiple designers present. Assist with marketing and promotion of Firm's internal trial resources. Build and maintain strong working relationships with attorneys, legal assistants and colleagues. Qualifications: Proficiency in Adobe Creative Cloud and Microsoft Office Suite required; working knowledge of 2D/3D animation and modelling software a plus. Minimum required and preferred qualifications needed to effectively perform the job. Education. Bachelor of Arts or Science from accredited College or University, preferred. 5+ years of Legal Technology experience, required. Technologies/Software Proficiency in Adobe Creative Cloud and Microsoft Office Suite required. Working knowledge of 2D/3D animation and modelling software a plus.
31/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* Prestigious Global Firm is currently seeking a Senior Legal Presentation Designer with Adobe Creative Suite experience. Candidate will deliver superior graphical production support and consultation to attorneys, legal assistants and expert witnesses. They are experts regarding the use of specialized graphics as visual aids to assist juries, judges, arbitrators and mock juries in matters involving complex litigation. This position requires at least 5 years of technical experience providing some combination of graphics creation, support at pre-trial and at-trial functions. The Senior Presentation Designer must be self-motivated, diligent, disciplined, resourceful, organized, be able to multi-task, and operate especially well under time constraints and similar demanding influences. Superior written and oral communication skills are required, as are the abilities to cultivate customer relationships and foster collaborative relationships with attorneys, legal assistants and colleagues. Responsibilities: Work closely with trial teams to develop graphic recommendations for effective visual communication of case themes. Conceptualize, design, revise, and oversee completion of high-level graphics, illustrations, and animations. Create, revise and reformat PowerPoint presentations, developing and maintaining litigation-specific formatting, style, and consistency. Provide on-site trial support, serving as point of contact and directing workflow when multiple designers present. Assist with marketing and promotion of Firm's internal trial resources. Build and maintain strong working relationships with attorneys, legal assistants and colleagues. Qualifications: Proficiency in Adobe Creative Cloud and Microsoft Office Suite required; working knowledge of 2D/3D animation and modelling software a plus. Minimum required and preferred qualifications needed to effectively perform the job. Education. Bachelor of Arts or Science from accredited College or University, preferred. 5+ years of Legal Technology experience, required. Technologies/Software Proficiency in Adobe Creative Cloud and Microsoft Office Suite required. Working knowledge of 2D/3D animation and modelling software a plus.
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
31/05/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
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.
31/05/2024
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
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.
31/05/2024
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 - 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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.