Senior Mlops Engineer

Prolific

Remote
Remote
Cloud infrastructure and infrastructure as code
Ml and llm lifecycle
Ai production lifecycle
As a Senior MLOps Engineer, you will be the backbone of our AI production lifecycle, ensuring high-performance infrastructure, automated pipelines, and deployment strategies to ship state-of-the-art models and agents at scale

Job Summary

  • As a Senior MLOps Engineer, you will be the backbone of our AI production lifecycle, ensuring high-performance infrastructure, automated pipelines, and deployment strategies to ship state-of-the-art models and agents at scale.
  • You will design and maintain scalable cloud environments using Terraform, manage GPU/TPU resource allocation, and build internal services to streamline the developer experience for the AI team.
  • Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture, positioning yourself at the forefront of the next wave of AI innovation.

Matching Summary

As a Senior MLOps Engineer, you will be the backbone of our AI production lifecycle, ensuring high-performance infrastructure, automated pipelines, and deployment strategies to ship state-of-the-art models and agents at scale.

Skills & Requirements

Must-have

  • cloud infrastructure and infrastructure as code
  • ML and LLM lifecycle
  • AI production lifecycle
  • high-performance infrastructure
  • automated pipelines
  • deployment strategies

Nice-to-have

  • support AI agent deployment
  • enablement for non-technical users
  • mission-driven culture

Key Requirements

  • 5+ years experience
  • cloud infrastructure experience
  • infrastructure as code experience
  • ML and LLM lifecycle experience
  • working with researchers and data scientists

Work Rights

Not specified

Tailored Resume

Cover Letter