Machine Learning Engineer

Role : Senior ML Engineer

Location : US Remote

Duration : Long Term

Experience : 10+ Years

• A heavy-hitting Python Engineer who writes clean, production-ready code without needing an LLM or a manager to hold their hand. This person will act as the bridge between hardcore software engineering (OOP, CI/CD, observability) and practical AI. They should be comfortable writing complete backend modules end-to-end. SQL, No-SQL, Vector DB, Azure, scaling, workflows.
• Key requirement: Strong applied ML understanding not just integrating APIs.
  Candidates should be able to decide when to use heuristics vs classical ML vs LLM-based approaches, and justify trade-offs (accuracy, latency, cost, complexity). Experience evaluating models in real-world settings is important.
• ML spectrum (tree-based algos, stats, NLP, vectors) is a huge plus but must include hands-on exposure to applying or tuning models, not just consuming them via APIs.