Data Scientist

Capgemini
Dallas, TX, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Computer Vision Cloud Computing Information Engineering Software Debugging Machine Learning Software Engineering Software Security Generative AI Rate Limiting Information Technology
+5 more
Performance Monitor Machine Learning Operations Stable Diffusion Restful APIs GPT

Job description

Experteer Overview In this role you will design, build, and scale Generative AI and Predictive AI solutions that drive business value. You’ll work across AI/ML, APIs, cloud, data engineering, and MLOps to deliver production-ready AI applications. You will develop intelligent agents and agentic workflows to automate processes and improve outcomes. This is a hands-on role at scale within Capgemini’s collaborative environment, offering meaningful impact across clients. You’ll join a team focused on advancing AI capabilities and enterprise adoption. Compensation / Benefits * Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models * Build NLP and Computer Vision applications * Create intelligent AI agents and agentic workflows to automate business processes * Implement Retrieval-Augmented Generation (RAG) and multimodal AI * Design AI-enabled applications and REST API integrations with secure, documented endpoints * Handle API security, rate limiting, debugging, error handling, and documentation * Deploy AI models to production and monitor performance, scalability, and reliability Tasks * Bachelor’s degree or higher in AI, Machine Learning, Computer Science, or related field * 3-5 years of experience in AI, ML, Data Science, or Application Development * Experience deploying and managing production AI solutions with MLOps practices Key requirements * Paid time off (vacation) * Company holidays * Personal days * Sick leave * Medical/dental/vision coverage * Retirement savings plans

Requirements

aaaaas_ debugging, error handling, and documentation * Deploy AI models to production and monitor performance, scalability, and reliability Tasks * Bachelor’s degree or higher in AI, Machine Learning, Computer Science, or related field * 3-5 years of experience in AI, ML, Data Science, or Application Development * Experience deploying and managing production AI solutions with MLOps practices Key requirements * Paid time off (vacation) * Company holidays * Personal days * Sick leave * Medical/dental/vision coverage * Retirement savings plans

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