Lead and manage a DevOps-focused platform team for ML Ops infrastructure.
Build, scale, and secure platforms for ML and GenAI models with financial accountability.

🎯 Requirements

Extensive production experience deploying and supporting ML systems.
Proven track record of leading engineering teams.
Experience with Generative AI and LLM deployment patterns.
Experience reducing cloud spend on large AI clusters.
Proficiency with ML tooling (MLflow, Kubeflow, LangSmith, Phoenix).
Familiarity with cloud cost tools (Kubecost, Cloudability) and Kubernetes ecosystem.

🎁 Benefits

Competitive compensation and global benefits package.
Career growth in a fast-moving AI platform company.
DEIB commitment and inclusive culture.

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