Data Scientist

Capgemini • Dallas, TX

6d • Onsite

About The Position

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. The GenAI Engineer / Data Scientist role focuses on developing, deploying, and scaling Generative AI and Predictive AI solutions that drive business value. The position combines expertise in AI/ML, APIs, cloud platforms, data engineering, MLOps, and agentic AI workflows to build production-ready AI applications and automation solutions.

Requirements

• Bachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field.
• 3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
• Experience deploying and managing production AI solutions with MLOps practices.
• Strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building and operating enterprise-scale AI solutions from development through production deployment.

Responsibilities

• Develop and deploy: Generative AI solutions (GPT, Claude, Stable Diffusion)
• Develop and deploy: Predictive AI models (regression, classification, clustering)
• Develop and deploy: NLP and Computer Vision applications
• Build intelligent AI agents and agentic workflows to automate business processes.
• Implement Retrieval-Augmented Generation (RAG) and multimodal AI solutions.
• Design AI-enabled applications and integrations using: REST APIs, JSON services, Authentication and Tokens, HTTP protocols and API endpoints
• Handle API security, rate limiting, debugging, error handling, and documentation.
• Deploy AI models into production environments.
• Monitor model performance, scalability, and reliability.

Benefits

• 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
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level