Senior MLOps Engineer (ML Workflows Engineering)

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. Benefits: Opportunity to work with cutting-edge technology in AI and ML. Inclusive workplace that values diverse backgrounds and ideas.