*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
07/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
07/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
07/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
Senior DevOps Engineer - Cloud - Permanent - Poland Robson Bale are looking for a Senior DevOps Engineer to come on board for a permanent opportunity in Poland. Role can be fully remote from Poland Permanent, Excellent Salary Responsibilities: Technical Skills - Must have Leadership: Lead and manage DevOps/Infrastructure projects, overseeing the entire development life cycle. Collaborate with cross-functional teams to align project objectives and deliverables. Ensure adherence to timelines, budgets, and quality standards. Mentor and guide team members and interns, fostering a culture of continuous learning. Security and Compliance: Demonstrate a deep understanding of Standard Operating Procedures (SOP) for security practices. Perform threat modelling and implement encryption, network defense, and web security measures. Champion security best practices in a production environment and address cloud security risks. Integrate identity providers such as OAuth, OIDC, and SAML to enhance security. DevOps/Infrastructure and Cloud Expertise: Drive change, release, and incident management processes to maintain a stable environment. Utilize extensive experience in DevOps to optimize performance, conduct application upgrades, and apply patches. Lead continuous integration and deployment efforts using tools like Jenkins and Ansible. Demonstrate proficiency in coding and automation to streamline operations. Good hands-on knowledge of AWS/AZURE/GCP cloud service providers. Cloud Infrastructure Management: Exhibit strong expertise in AWS/AZURE/GCP/OCI cloud services and maintain infrastructure as code (IAC) using Ansible, Terraform, or CloudFormation. Oversee containerization technologies like Docker and Kubernetes to enhance scalability and efficiency. Manage Linux-based systems and network configurations to ensure smooth operations. Security and Access Management: Demonstrate a solid grasp of identity and access management (IAM) principles. Manage Security Groups (SGs), Firewall services, and secrets effectively. Optimize service costs based on resource utilization and scale. Monitoring and Reliability: Ensure ongoing and reliable monitoring of the infrastructure to promptly address issues. Implement performance tuning and optimization strategies to maintain high availability. Technical Requirements: Proficient in Python/Java/bash Scripting for automation and tooling. Expertise in AWS/AZURE/GCP/OCI cloud services like Azure Kubernetes Service/Elastic Kubernetes Service/Google Kubernetes Engine. Extensive experience with CI/CD pipelines, particularly using Jenkins . Strong familiarity with Docker and Kubernetes for container orchestration. In-depth understanding of networking principles. Good to Have Skillsets: Experience in crafting intuitive and engaging user interfaces (UI) for web applications, mobile apps, or other AI-powered interfaces. Experience with design thinking methodologies. Understanding of data visualization and information architecture. Ability to write clear documentation. Experience with voice user interfaces (VUIs). Knowledge of animation and micro interactions for enhancing user experience. Experience with design systems and component libraries. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Attention to detail and commitment to quality. Behavioral Skills: Work closely with designers, product managers, Developers, and data scientists to deliver comprehensive solutions. Communicate effectively and share knowledge with the team. Be open to feedback and continuously learn and adapt to new technologies. Ability to work independently and as part of a team. Ability to work effectively under pressure and meet deadlines. Passion for learning and staying updated on the latest technologies. Good Attitude and Quick learner. Certification (Good to have) : Certifications (Preferred, any 1 or more Cloud Service Provider): AWS associate certification (eg, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Certified Kubernetes Administrator (CKA) certification. Certified Docker Captain. Azure Certifications (eg Azure Fundamentals, Azure Administrator Associate, DevOps Engineer Expert, Azure Security Engineer Associate) GCP certifications (eg Cloud DevOps Engineer, Cloud network Engineer, Google Workspace Administrator) Networking related certification. Role can be fully remote from Poland Permanent, Excellent Salary Senior DevOps Engineer - Cloud - Permanent - Poland
07/05/2024
Full time
Senior DevOps Engineer - Cloud - Permanent - Poland Robson Bale are looking for a Senior DevOps Engineer to come on board for a permanent opportunity in Poland. Role can be fully remote from Poland Permanent, Excellent Salary Responsibilities: Technical Skills - Must have Leadership: Lead and manage DevOps/Infrastructure projects, overseeing the entire development life cycle. Collaborate with cross-functional teams to align project objectives and deliverables. Ensure adherence to timelines, budgets, and quality standards. Mentor and guide team members and interns, fostering a culture of continuous learning. Security and Compliance: Demonstrate a deep understanding of Standard Operating Procedures (SOP) for security practices. Perform threat modelling and implement encryption, network defense, and web security measures. Champion security best practices in a production environment and address cloud security risks. Integrate identity providers such as OAuth, OIDC, and SAML to enhance security. DevOps/Infrastructure and Cloud Expertise: Drive change, release, and incident management processes to maintain a stable environment. Utilize extensive experience in DevOps to optimize performance, conduct application upgrades, and apply patches. Lead continuous integration and deployment efforts using tools like Jenkins and Ansible. Demonstrate proficiency in coding and automation to streamline operations. Good hands-on knowledge of AWS/AZURE/GCP cloud service providers. Cloud Infrastructure Management: Exhibit strong expertise in AWS/AZURE/GCP/OCI cloud services and maintain infrastructure as code (IAC) using Ansible, Terraform, or CloudFormation. Oversee containerization technologies like Docker and Kubernetes to enhance scalability and efficiency. Manage Linux-based systems and network configurations to ensure smooth operations. Security and Access Management: Demonstrate a solid grasp of identity and access management (IAM) principles. Manage Security Groups (SGs), Firewall services, and secrets effectively. Optimize service costs based on resource utilization and scale. Monitoring and Reliability: Ensure ongoing and reliable monitoring of the infrastructure to promptly address issues. Implement performance tuning and optimization strategies to maintain high availability. Technical Requirements: Proficient in Python/Java/bash Scripting for automation and tooling. Expertise in AWS/AZURE/GCP/OCI cloud services like Azure Kubernetes Service/Elastic Kubernetes Service/Google Kubernetes Engine. Extensive experience with CI/CD pipelines, particularly using Jenkins . Strong familiarity with Docker and Kubernetes for container orchestration. In-depth understanding of networking principles. Good to Have Skillsets: Experience in crafting intuitive and engaging user interfaces (UI) for web applications, mobile apps, or other AI-powered interfaces. Experience with design thinking methodologies. Understanding of data visualization and information architecture. Ability to write clear documentation. Experience with voice user interfaces (VUIs). Knowledge of animation and micro interactions for enhancing user experience. Experience with design systems and component libraries. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Attention to detail and commitment to quality. Behavioral Skills: Work closely with designers, product managers, Developers, and data scientists to deliver comprehensive solutions. Communicate effectively and share knowledge with the team. Be open to feedback and continuously learn and adapt to new technologies. Ability to work independently and as part of a team. Ability to work effectively under pressure and meet deadlines. Passion for learning and staying updated on the latest technologies. Good Attitude and Quick learner. Certification (Good to have) : Certifications (Preferred, any 1 or more Cloud Service Provider): AWS associate certification (eg, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Certified Kubernetes Administrator (CKA) certification. Certified Docker Captain. Azure Certifications (eg Azure Fundamentals, Azure Administrator Associate, DevOps Engineer Expert, Azure Security Engineer Associate) GCP certifications (eg Cloud DevOps Engineer, Cloud network Engineer, Google Workspace Administrator) Networking related certification. Role can be fully remote from Poland Permanent, Excellent Salary Senior DevOps Engineer - Cloud - Permanent - Poland
Senior Connectivity Firmware/Test Engineer 1 year freelance contract + extensions after Leuven, Belgium (2 days remote per week) Within our Personal Health R&D group, we want to capture the strong market growth in ICs for hearing aids and implants, hearables, wearables, and personal health monitoring applications, health IoT. Owing to our success, our department of 40+ engineers is growing, and we have challenging opportunities for software engineers. Our System-on-Chip products employ the latest Bluetooth Smart (BLE) or NFC with our experience in ultra-low power design. We develop the full software stack from driver-level all to way to turnkey applications, enabling our customers to build their products with minimum effort. Description of services: Unconditionally technically responsible for a subsystem, application Estimate the effort for your work and contribute to reviewing the estimates of peers Execute feasibility studies to underpin the estimations Create a design for the software Organize or contribute to (mutual) reviews of designs with colleagues and Software Architect Plan your assignments and report on progress Contribute to specifying and developing automated regression test frameworks. Document functional and performance specifications, test design documentation and develop the test strategy and test specifications. Work with the development team to develop and guide the implementation of module, systems and end to end tests (functional + performance testing) to fit in the test framework. Develop test automations using Python, Jenkins. Experience: Master's degree in Software Engineering or Electronics or, have reached this level through another form of training or experience. 3-5 years Embedded software/firmware development experience, in either the mobile industry or in semiconductors. Proud software craftsman with solid BLE 5.X experience, preferably in both Link Layer and Host stack Natural team player and obsessive to learn and gain experience Spoken and written English Knowledge of design methods and software engineering processes, Microcontroller architectures and peripherals, Embedded programming in C. Strong Python programming skills Building Real Time systems on bare metal or using an RTOS, structured debugging, interpretation of PCB schematics. Practical experience using the Scrum framework Experience in technical coaching of junior team members Additional context of the role: Idea is to find a candidate with a strong BLE knowledge. The work to be done is to develop the upper level (application level) of the BLE communication protocol stack which are not yet existing. To do this, knowledge/understanding/experience of the lower levels is absolutely necessary ( Link Layer and Host stack). The testing part of the job will be relatively limited to the beginning of the assignment. At that time 50% of the time should be spend within the R&D team which is currently struggling with the validation testing. Helping on this aspect will serve as an introduction to the product for the candidate. Finally, we want a senior profile as one of the tasks will be to lead the team in the "go to market strategy". The product till now is developed for use cases of specific customers but idea is to make it a mass product. The senior engineer should help here to identify what may be missing in the product to reach a broader audience, for example by comparison with competitors. This part will require again to interact with the R&D team.
07/05/2024
Project-based
Senior Connectivity Firmware/Test Engineer 1 year freelance contract + extensions after Leuven, Belgium (2 days remote per week) Within our Personal Health R&D group, we want to capture the strong market growth in ICs for hearing aids and implants, hearables, wearables, and personal health monitoring applications, health IoT. Owing to our success, our department of 40+ engineers is growing, and we have challenging opportunities for software engineers. Our System-on-Chip products employ the latest Bluetooth Smart (BLE) or NFC with our experience in ultra-low power design. We develop the full software stack from driver-level all to way to turnkey applications, enabling our customers to build their products with minimum effort. Description of services: Unconditionally technically responsible for a subsystem, application Estimate the effort for your work and contribute to reviewing the estimates of peers Execute feasibility studies to underpin the estimations Create a design for the software Organize or contribute to (mutual) reviews of designs with colleagues and Software Architect Plan your assignments and report on progress Contribute to specifying and developing automated regression test frameworks. Document functional and performance specifications, test design documentation and develop the test strategy and test specifications. Work with the development team to develop and guide the implementation of module, systems and end to end tests (functional + performance testing) to fit in the test framework. Develop test automations using Python, Jenkins. Experience: Master's degree in Software Engineering or Electronics or, have reached this level through another form of training or experience. 3-5 years Embedded software/firmware development experience, in either the mobile industry or in semiconductors. Proud software craftsman with solid BLE 5.X experience, preferably in both Link Layer and Host stack Natural team player and obsessive to learn and gain experience Spoken and written English Knowledge of design methods and software engineering processes, Microcontroller architectures and peripherals, Embedded programming in C. Strong Python programming skills Building Real Time systems on bare metal or using an RTOS, structured debugging, interpretation of PCB schematics. Practical experience using the Scrum framework Experience in technical coaching of junior team members Additional context of the role: Idea is to find a candidate with a strong BLE knowledge. The work to be done is to develop the upper level (application level) of the BLE communication protocol stack which are not yet existing. To do this, knowledge/understanding/experience of the lower levels is absolutely necessary ( Link Layer and Host stack). The testing part of the job will be relatively limited to the beginning of the assignment. At that time 50% of the time should be spend within the R&D team which is currently struggling with the validation testing. Helping on this aspect will serve as an introduction to the product for the candidate. Finally, we want a senior profile as one of the tasks will be to lead the team in the "go to market strategy". The product till now is developed for use cases of specific customers but idea is to make it a mass product. The senior engineer should help here to identify what may be missing in the product to reach a broader audience, for example by comparison with competitors. This part will require again to interact with the R&D team.
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
06/05/2024
Full time
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
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.
04/05/2024
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.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
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.
Job Title: MS Fabric Expert Location: Remote/Manchester 2-3x a month Salary/Rate: £400-£500 Start Date: 13/05/24 Job Type: 3 month Contract Inside IR35 Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled MS Fabric Expert to join their team for an initial three-month contract. Job Responsibilities/Objectives You will be responsible for designing synapse pipeline in Microsoft fabric, client communication, leading and ensuring delivery. Required Skills/Experience The ideal candidate will have the following: 1. Azure Synapse 2. Azure DataFactory 3. Microsoft Fabric 4. Pyspark/Python If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Not with standing any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
03/05/2024
Project-based
Job Title: MS Fabric Expert Location: Remote/Manchester 2-3x a month Salary/Rate: £400-£500 Start Date: 13/05/24 Job Type: 3 month Contract Inside IR35 Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled MS Fabric Expert to join their team for an initial three-month contract. Job Responsibilities/Objectives You will be responsible for designing synapse pipeline in Microsoft fabric, client communication, leading and ensuring delivery. Required Skills/Experience The ideal candidate will have the following: 1. Azure Synapse 2. Azure DataFactory 3. Microsoft Fabric 4. Pyspark/Python If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Not with standing any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Outstanding opportunity to this fast paced, rapidly growing, PropTech scale up on a permanent basis as an AWS DevSecOps (AWS Security Engineer). This software business provides the world's leading technology platform for property management and estate agency globally and offers the opportunity to shape the direction of a newly formed DevSecOps function regarding security policies, tooling and best practice. We're looking for an experienced engineer, competent in responding and resolving cloud security incidents with deep AWS security expertise and an understanding of engineering cloud platforms on an infrastructure as code basis (IaC). You'll require the following skills and experience: 3+ years' experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks, such as ISO 27001 controls and NIST Guidelines Experience in implementing security automation using Scripting languages eg Python and infrastructure-as-code (IaC) tools Ability to perform security threat modelling and risk assessments to identify and prioritize security risks Experience with security incident response and handling, including log analysis and forensics Outstanding business stakeholder engagement and management experience, inc. presenting of solutions to the exec team Certifications such as AWS Certified Security Specialist are a plus £70k-£75k + bonus + benefits. 90% remote, occasional travel the Midlands
02/05/2024
Full time
Outstanding opportunity to this fast paced, rapidly growing, PropTech scale up on a permanent basis as an AWS DevSecOps (AWS Security Engineer). This software business provides the world's leading technology platform for property management and estate agency globally and offers the opportunity to shape the direction of a newly formed DevSecOps function regarding security policies, tooling and best practice. We're looking for an experienced engineer, competent in responding and resolving cloud security incidents with deep AWS security expertise and an understanding of engineering cloud platforms on an infrastructure as code basis (IaC). You'll require the following skills and experience: 3+ years' experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks, such as ISO 27001 controls and NIST Guidelines Experience in implementing security automation using Scripting languages eg Python and infrastructure-as-code (IaC) tools Ability to perform security threat modelling and risk assessments to identify and prioritize security risks Experience with security incident response and handling, including log analysis and forensics Outstanding business stakeholder engagement and management experience, inc. presenting of solutions to the exec team Certifications such as AWS Certified Security Specialist are a plus £70k-£75k + bonus + benefits. 90% remote, occasional travel the Midlands
People Source Consulting Ltd
Gloucester, Gloucestershire
Role: Product Support Engineer - industrial automation - PLC - SERVO DRIVES - MOTION CONTROL Location: Gloucester + some remote work Salary: £competitive - we just want the right people ! Occasional international travel to support distributors (2 to 4 weeks per year). *This Client are exclusive to People Source so you MUST apply via this advert.* My client based in Gloucester are looking at hiring Product Support Engineers, this is a hands on role! You will be front line with the clients and customers and running projects from concept to delivery. You must have a technical understanding and a engineering background industrial automation - PLC - SERVO DRIVES - MOTION CONTROL. The Role: You will be working as part of a team alongside our development engineers and customers. Products are centred around programmable motion controllers with PLC functionality used in a broad range of industrial machines ranging from 3D printing to assembly line systems and industrial robots. You will be working with our product hardware and software engineers based in the UK, Italy and Bulgaria to bring the latest automation technology to the market. Alongside this, the role includes active dialogue with our customers and branch offices abroad and will require some limited travel both within and outside the UK. The ability to think logically about problem solving and experience writing software in a high level structured language will be needed and some experience with electrical wiring is desirable. Some prior mechanical knowledge will be helpful but training will be given where appropriate. Specific Job Responsibilities: Work with customers to support their ability to create world-class technical solutions using products, software and programming tools. Assist the development department with testing and evaluating new software and hardware, giving clear feedback to development engineers. Advise customers on the integration and commissioning of automation products including motion co-ordinators, high performance servo drives/motors and industrial robots. Work with branch offices in USA, India and China and with ESTUN Automation in China to provide industry leading products and a world-class customer experience Required Qualifications & Experience Training will be given in areas which are new to the applicant. Degree or similar higher qualification in Software/Mechatronics/Electronics or related discipline. Worked on interfacing automation hardware; eg sensors, actuators, drives and motors. A background in communications using serial, Ethernet and similar media. Experienced in programming industrial automation/manufacturing machines Having a thorough working knowledge and experience of 3 or more of the following will be beneficial: Implementing and commissioning stand-alone automation computers; eg PLC or Motion Controller. Good knowledge of a high level programming language; for example C, BASIC, Python. PLC programming, preferably using the standard IEC61131-3 environment. Electrical interfacing between a controller and sensors/actuators in an automation system. Servo drives and brushless servo motors. Stepper motors and drives. Ethernet networks, protocols and topology. A working knowledge of PCs running Windows. Basic level of Windows/Linux application programming. Real Time deterministic networks, eg EtherCAT, Sercos, CanOpen, Profinet RT. Application and configuration of Industrial Robots. Programming and configuration of touch-screen HMIs Applicants should be a team player and be able to communicate effectively in English. They must be legally entitled to live and work in the UK. A full driving licence is required and applicants must be eligible to obtain business visas for USA/Canada, China and India as some foreign travel may be necessary. Benefits: Attractive salary, profit related pay and pension contribution 5% Some remote/hybrid working up to 25% of working time Group Life and Health Cashplan Insurance How to apply? Send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
02/05/2024
Full time
Role: Product Support Engineer - industrial automation - PLC - SERVO DRIVES - MOTION CONTROL Location: Gloucester + some remote work Salary: £competitive - we just want the right people ! Occasional international travel to support distributors (2 to 4 weeks per year). *This Client are exclusive to People Source so you MUST apply via this advert.* My client based in Gloucester are looking at hiring Product Support Engineers, this is a hands on role! You will be front line with the clients and customers and running projects from concept to delivery. You must have a technical understanding and a engineering background industrial automation - PLC - SERVO DRIVES - MOTION CONTROL. The Role: You will be working as part of a team alongside our development engineers and customers. Products are centred around programmable motion controllers with PLC functionality used in a broad range of industrial machines ranging from 3D printing to assembly line systems and industrial robots. You will be working with our product hardware and software engineers based in the UK, Italy and Bulgaria to bring the latest automation technology to the market. Alongside this, the role includes active dialogue with our customers and branch offices abroad and will require some limited travel both within and outside the UK. The ability to think logically about problem solving and experience writing software in a high level structured language will be needed and some experience with electrical wiring is desirable. Some prior mechanical knowledge will be helpful but training will be given where appropriate. Specific Job Responsibilities: Work with customers to support their ability to create world-class technical solutions using products, software and programming tools. Assist the development department with testing and evaluating new software and hardware, giving clear feedback to development engineers. Advise customers on the integration and commissioning of automation products including motion co-ordinators, high performance servo drives/motors and industrial robots. Work with branch offices in USA, India and China and with ESTUN Automation in China to provide industry leading products and a world-class customer experience Required Qualifications & Experience Training will be given in areas which are new to the applicant. Degree or similar higher qualification in Software/Mechatronics/Electronics or related discipline. Worked on interfacing automation hardware; eg sensors, actuators, drives and motors. A background in communications using serial, Ethernet and similar media. Experienced in programming industrial automation/manufacturing machines Having a thorough working knowledge and experience of 3 or more of the following will be beneficial: Implementing and commissioning stand-alone automation computers; eg PLC or Motion Controller. Good knowledge of a high level programming language; for example C, BASIC, Python. PLC programming, preferably using the standard IEC61131-3 environment. Electrical interfacing between a controller and sensors/actuators in an automation system. Servo drives and brushless servo motors. Stepper motors and drives. Ethernet networks, protocols and topology. A working knowledge of PCs running Windows. Basic level of Windows/Linux application programming. Real Time deterministic networks, eg EtherCAT, Sercos, CanOpen, Profinet RT. Application and configuration of Industrial Robots. Programming and configuration of touch-screen HMIs Applicants should be a team player and be able to communicate effectively in English. They must be legally entitled to live and work in the UK. A full driving licence is required and applicants must be eligible to obtain business visas for USA/Canada, China and India as some foreign travel may be necessary. Benefits: Attractive salary, profit related pay and pension contribution 5% Some remote/hybrid working up to 25% of working time Group Life and Health Cashplan Insurance How to apply? Send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.