Machine Learning Engineer

Turn research models into scalable, production-ready systems that survive real traffic, real data drift and real audit. What you’ll do Take models from experiment to production service — packaging, serving, scaling and versioning them. Build the evaluation and monitoring that tells you a model has quietly stopped working. Engineer for the failure cases: latency budgets, fallback behaviour, and what happens when the model is wrong. Work inside enterprise constraints — security review, change con…