MLOps Engineer: LLM & GenAI Production Specialist

Capgemini; Dallas (TX); On-site; USD 70,000 - 85,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking an experienced ML Engineer for on-site work in Westlake, TX to deploy models into production and scale ML infrastructure. You will collaborate across teams to design, validate, and implement end-to-end AI solutions, leveraging AWS, Docker, and modern MLOps practices.

This role emphasizes hands-on coding, system design, and robust production-readiness. The ideal candidate has 3+ years in ML production, strong Python/TypeScript coding skills, and experience with LLMs and

Qualifications

• 3+ years of experience putting ML models into production.
• Experience with Mlflow or similar lifecycle tools.
• Docker to create reproducible, scalable environments.
• Advanced knowledge of ML models and LLMs, using Langchain or similar.

Skills

AWS

Distributed apps

Systems thinking

ML Infrastructure

Pipelines

Platforms & tools

Python

TypeScript

Transformers

PyTorch

Jenkins

Git

Docker

vLLM

LangGraph

Tools

Mlflow

Langchain

APIs

Job description

Capgemini is seeking an experienced ML Engineer for on-site work in Westlake, TX to deploy models into production and scale ML infrastructure. You will collaborate across teams to design, validate, and implement end-to-end AI solutions, leveraging AWS, Docker, and modern MLOps practices.

This role emphasizes hands-on coding, system design, and robust production-readiness. The ideal candidate has 3+ years in ML production, strong Python/TypeScript coding skills, and experience with LLMs and