Machine Learning Engineer Sr

Requisitos

• Proven experience putting ML models into production
• Python and solid software engineering fundamentals (APIs, testing, clean code)
• Inference serving and optimization for low latency
• Familiarity with containers (Docker) and MLOps flows (registry, deploy)
• Comfort with AI-assisted development (Claude Code)

Desejáveis

• Ray ecosystem (Serve, Train, Tune, RLlib)
• Feature stores (Feast) and low-latency serving with Redis at scale
• Optimization/solvers (Gurobi, HiGHS), real-time revenue management, or offline RL
• Generative AI serving (vLLM, LiteLLM) and multi-tenant architectures