MLOps Engineer: AI/LLM Deployment & Pipelines

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

Benefits offered by this job

Paid time off

Health coverage

Retirement plans

Job summary

Capgemini Westlake, TX seeks an ML Platform Engineer to join onsite. You will work on AWS-based distributed apps, ML pipelines, and productionizing models using modern ML tooling.

The role demands 3+ years in production ML, MLOps experience, Docker-based environments, and API integration. Capgemini provides a broad benefits package including PTO, health coverage, and retirement plans.

Qualifications

• Min 3+ years of experience putting Machine Learning models into production.
• Experience using Mlflow or similar tools for lifecycle management of ML models.
• Experience in using Docker to create reproducible and scalable environments.
• Advanced knowledge of ML models and Large Language Models (LLMs).
• Experience implementing LLMs using vector stores and Retrieval-Augmented Generation (RAG).
• Ability to perform solution architecture validations for LLMs.
• Experience in putting GenAI models into production and providing support.
• Experience with cloud computing platforms (AWS, Google Cloud, Azure) for deployment and scaling.
• Strong software engineering skills and API development experience.

Skills

AWS

distributed apps

systems thinking

ML infrastructure

pipelines

platforms & tools

Python

Typescript

Transformers

pytorch

Jenkins

Git

Docker

vLLM

langGraph

Tools

Mlflow

Docker

LangChain

GPTs

Llama

Job description

Capgemini Westlake, TX seeks an ML Platform Engineer to join onsite. You will work on AWS-based distributed apps, ML pipelines, and productionizing models using modern ML tooling.

The role demands 3+ years in production ML, MLOps experience, Docker-based environments, and API integration. Capgemini provides a broad benefits package including PTO, health coverage, and retirement plans.