Jobs · Engineering · Texas

Data Scientist

CareerZen · Irving, TX · 2 mo ago
Engineering$90k–$125k/yrContract

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 Role

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.

Responsibilities

  • Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
  • 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 solutions.
  • Design AI-enabled applications and integrations using REST APIs, JSON services, authentication, 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.

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.

Skills

The ideal candidate is a hands-on GenAI Engineer/Data Scientist with strong expertise in:

  • Generative AI and LLMs
  • AI agents
  • Python and SQL
  • Cloud platforms
  • MLOps
  • APIs and data engineering

Capable of building and operating enterprise-scale AI solutions from development through production deployment.

Pay

The base compensation range for this role in the posted location is $90,000–$125,000. The actual compensation offered may vary based on factors such as geographic location, education, certifications, relevant experience, skills, seniority, performance, market considerations, and internal pay equity. In addition to base salary, this role may be eligible for variable incentives, bonuses, or commissions.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. Available benefits may include:

  • Paid time off: 12–25 days vacation (depending on grade), company-paid holidays, personal days, and 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.

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