GenAI Engineer & Data Scientist (Hybrid)

Capgemini; Houston (TX); Híbrido; USD 77.000 - 151.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid time off

Medical/Dental/Vision

Retirement savings plans

Life and disability insurance

Employee assistance programs

Other local benefits

Descripción de la vacante

Capgemini seeks a GenAI Engineer / Data Scientist to design, deploy, and monitor Generative and Predictive AI solutions for enterprise environments. You will partner with data engineers, architects, and business teams to deliver AI-powered apps, agentic workflows, and intelligent automation while leveraging cloud, MLOps, and data engineering practices.

You will build AI models across NLP, CV, and structured analytics, architect APIs, and deploy AI agents with robust security and scalability in a

Formación

• 5+ years in Data Science, Machine Learning, AI or Analytics.
• Strong Python and SQL programming.
• Experience building and integrating REST APIs, JSON, HTTP protocols, and token-based security.
• Hands-on with Generative AI, LLMs, LangChain, and AI frameworks.

Responsabilidades

• Develop and implement Generative AI and Predictive AI models for enterprise use cases.
• Build AI solutions with NLP, computer vision, classification, regression, and clustering.
• Design and integrate AI apps using APIs, REST services, authentication, and cloud platforms.
• Develop AI agents and agentic workflows for automation and decision-making.
• Implement RAG and LLM-powered applications.
• Deploy, monitor, and optimize models in production with MLOps.
• Design scalable data pipelines, data lakes, and data warehouses.

Conocimientos

Python

SQL

API integration

Cloud platforms

Generative AI

NLP

LLMs

LangChain

TensorFlow

MLOps

Herramientas

REST APIs

JSON

Descripción del empleo

Capgemini seeks a GenAI Engineer / Data Scientist to design, deploy, and monitor Generative and Predictive AI solutions for enterprise environments. You will partner with data engineers, architects, and business teams to deliver AI-powered apps, agentic workflows, and intelligent automation while leveraging cloud, MLOps, and data engineering practices.

You will build AI models across NLP, CV, and structured analytics, architect APIs, and deploy AI agents with robust security and scalability in a