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Capgemini

Global consulting, technology services, outsourcing

Mlops Engineer

Applied Machine LearningUpdated on Nov 14
Full-timeWestlake, TX, USA

About the Job

Requirements

  • At least 3 years of experience putting machine-learning models into production.
  • Experience using MLflow or similar tools for lifecycle management of machine-learning models.
  • Experience using Docker to create reproducible and scalable environments.
  • Advanced knowledge of machine-learning models and large language models, using LangChain or a similar tool.
  • Experience implementing large language models using vector databases and retrieval-augmented generation, and tuning models, including GPT, Llama, or other large language models.
  • Ability to perform solution architecture validations for large language models.
  • Experience putting generative-AI models into production and providing support for them.
  • Familiarity with cloud-computing platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.
  • Ability to write clean, efficient, and reusable code.
  • Experience developing and using APIs for integrating models into existing applications.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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