GenAI Engineer-Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

About the job you’re considering

We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights.

Your Role

• Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment.
• Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.
• Develop generative and predictive AI models (including NLP, computer vision, etc.).
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.
• Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions.
• Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.
• Deploy AI models into production environments, ensuring scalability, performance, and optimization.
• Monitor and troubleshoot deployed models and pipelines for optimal performance.
• Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses).

Required Qualifications

• Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.
• Experience in model deployment, MLOps, model monitoring, and managing data/model drift.
• Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).
• Bachelor’s or greater degree in Machine Learning, AI, or equivalent professional experience.
• Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.
• Experience in model deployment, MLOps, model monitoring, and managing data/model drift.
• Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick

• Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca
• Life and disability insurance
• Employee assistance pro
• Other benefits as provided by local policy and eligib