Description:

Join JetBrains' ML Workflows Engineering team to enhance MLOps and streamline machine learning operations.
Design tools, automation, and pipelines for seamless ML development and deployment.

Requirements:

Hands-on experience with MLOps tools (Kubernetes, GCP, AWS, ML orchestration frameworks).
Solid understanding of the ML lifecycle and ability to manage projects end-to-end.
Customer-centric mindset to translate ML engineers' needs into scalable solutions.
Experience with CI/CD systems (GitHub Actions, JetBrains TeamCity).
Minimum three years of Python experience in modern ML codebases.

Skills