The role involves managing data governance, cataloging, and quality, requiring expertise in data management tools like Collibra. Responsibilities include developing data catalogs, overseeing data governance projects, and collaborating with teams.

As a Lead Product Developer, you will develop and implement user interface components while instilling best practices in software development. You'll troubleshoot interface software, optimize components for performance, and guide a web development team in delivering high-quality, scalable solutions. The role requires collaboration with cross-functional teams and a strong foundation in full software lifecycle methodology.

As a Decision Analytics Associate, develop statistical models and custom analyses using tools to solve business challenges and enhance decision-making for clients.

Spearhead innovative solutions for clinical trials, engage with clients on requirements, lead documentation and team management, mentor junior staff, and drive project delivery.

The Decision Analytics Consultant will analyze data to provide business solutions, collaborate with clients on specific needs, and communicate results effectively.

Collaborate on Knowledge Graph development, manage project lifecycles, ensure quality data, and support consulting efforts for various clients.

As a Senior Engineer in Large Language Models, you will develop GenAI applications, optimize LLMs, and deploy machine learning pipelines while collaborating with data scientists.

The Engineering Specialist will develop, test, and manage containerized applications on Kubernetes, design cloud infrastructure, enhance CI/CD pipelines, and implement monitoring solutions while collaborating with cross-functional teams.

As a Consultant in Architecture & Engineering, you will design and implement ML features, collaborate on requirements, code solutions, and mentor team members to deliver high-quality AI solutions.

Develop and deliver complex technology solutions for clients, including ownership of project phases, collaboration, problem-solving, and assistance in project management tasks.

Develop advanced algorithms, apply statistical techniques, and collaborate with clients to analyze data trends and integrate findings into solutions.

As a Data Science Associate Consultant, design and implement advanced machine learning solutions for complex datasets, staying updated with AI developments and collaborating with teams to optimize algorithms and deploy models.

The Associate Lead will drive project efforts, translate business needs into technology solutions, mentor team members, and manage data analytics to support decision-making.

Develop and implement technology solutions for clients, manage project phases, and collaborate within a global team while ensuring best practices.

The Engineering Manager will lead architecture design, oversee development, ensure system performance, and implement DevOps practices while managing a development team.

Lead AI Engineer responsible for developing and refining machine learning engineering platforms, building model pipelines, collaborating with teams, and ensuring high-quality code and deliverables.

As an Enterprise Architect, you'll lead technology and cloud advisory projects, focusing on business, data, application, and technology architecture while driving growth in the practice and enhancing client solutions.

The role involves designing scalable solutions, collaborating on technology roadmaps, engaging with clients, and mentoring junior team members in architecture practice.

The role involves designing and building ML platforms, managing the ML lifecycle, collaborating with data scientists, and mentoring team members. It focuses on creating GenAI applications and optimizing ML pipelines for high performance and scalability.

The Advanced Data Science Consultant develops high-impact analytics solutions, collaborates with engineering teams, leads project teams, and manages data science capabilities for clients.