Senior/Lead ML Engineer

Overview

Remote
Depends on Experience
Full Time

Skills

ML
Python
Docker
Git
ML Libraries
CI/CD

Job Details

  • 4+ years of professional Python software engineering experience with a focus on production ML deployment (not just research or prototyping).
  • Proven experience delivering end-to-end ML lifecycle: model development deployment monitoring.
  • Strong production systems experience in rigorous engineering environments (top-tier startups or Big Tech preferred).
  • Docker, Git, ML libraries (pandas, numpy, scikit-learn, PyTorch)
  • CI/CD pipelines, monitoring, testing frameworks
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