Capgemini

MLOps Engineer

Capgemini
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15 days ago
Dallas, TX, USAMid Level
H1B sponsor

Base Salary

$70k - $85k/yr

Responsibilities

  • Deploy, scale, and support machine learning and generative AI models in production.
  • Build and maintain ML infrastructure, pipelines, platforms, and tools.
  • Implement LLM solutions using vector databases, Retrieval-Augmented Generation, model tuning, GPT or Llama models, and LangChain or similar tools.
  • Perform solution architecture validation for LLMs.
  • Create reproducible and scalable environments using Docker.
  • Develop clean, efficient, reusable software and integrate models with applications through APIs.

Requirements

  • At least 3 years of experience putting machine learning models into production.
  • Experience with MLflow or similar tools for machine learning model lifecycle management.
  • Advanced knowledge of machine learning models and large language models.
  • Experience implementing LLMs with vector databases, RAG, and model tuning.
  • Experience with generative AI operations and supporting generative AI models in production.
  • Familiarity with AWS, Google Cloud, or Azure for model deployment and scaling.
  • Experience with Docker, APIs, and software engineering.
  • Knowledge of AWS, distributed applications, ML infrastructure, pipelines, platforms and tools, Python, TypeScript, Transformers, PyTorch, Jenkins, Git, vLLM, and LangGraph.

Benefits

  • Paid time off, including 12-25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage.
  • Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
  • Life and disability insurance and employee assistance programs.
  • The position is onsite in Westlake, Texas.
  • Regular full-time employees receive a comprehensive, non-negotiable benefits package.

Tech Stack

Categories

Capgemini

About Capgemini

10,000+ employees

Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.

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