Data Scientist

Capgemini • Dallas, TX

6d • $90,000 - $125,000 • Onsite

About The Position

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.

Nice To Haves

• A hands-on GenAI Engineer/Data Scientist with 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 (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

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