GenAI Engineer & Data Scientist — Onsite Houston Energy

Capgemini; Houston (TX); On-site; USD 54,000 - 122,000; Full time

Benefits offered by this job

401(k) matching

Paid time off

Healthcare coverage

Professional development

Job summary

Capgemini is seeking an enthusiastic AI/ML Engineer / GenAI Engineer / Data Scientist to join our Energy & Utilities sector team in a Houston onsite role. You will design, develop, and deploy AI/ML models, including GenAI and RAG solutions, across client projects and cloud platforms.

Strong Python, LangChain, and MLOps experience are preferred. You will collaborate with senior consultants and client teams to translate business challenges into AI-powered outcomes, handle data pipelines, REST

Qualifications

• Experience applying AI/ML to energy and utilities use cases.
• Strong Python programming and software engineering practices.
• Familiar with Generative AI concepts and LLM tooling.
• Experience with cloud ML platforms and MLOps practices.

Responsibilities

• Collaborate with client teams to identify AI opportunities in Energy & Utilities.
• Design, develop, and deploy AI/ML models including GenAI and RAG solutions.
• Prepare data, build pipelines, and ensure governance and monitoring.

Skills

Python

Generative AI

LLMs

LangChain

RAG

REST APIs

Databricks

PySpark

MLOps

Cloud platforms

Education

Bachelor’s or Master’s in CS/AI/DS/Engineering

Tools

Azure DevOps

Docker

AWS

GCP

ECS/EKS/Fargate

CloudFormation

CodeDeploy

Databricks

Job description

Capgemini is seeking an enthusiastic AI/ML Engineer / GenAI Engineer / Data Scientist to join our Energy & Utilities sector team in a Houston onsite role. You will design, develop, and deploy AI/ML models, including GenAI and RAG solutions, across client projects and cloud platforms.

Strong Python, LangChain, and MLOps experience are preferred. You will collaborate with senior consultants and client teams to translate business challenges into AI-powered outcomes, handle data pipelines, REST