Machine Learning Engineer IRC297305

Description Must-Have Strong foundation in ML inference, deployment, and quality testing Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks - this is the single most important trait End-to-end problem-solving mindset - can own a problem from model handoff to user-facing behavior Core ML knowledge sufficient to benchmark models and collaborate with researchers Experience deploying models in cloud environments, ideally GCP Ability to work with ambiguity and unknowns Good to Have Exposure to Java or JVM-based systems (model integration happens in Java; deep expertise not required) Familiarity with streaming data architectures Experience in hybrid cloud/on-prem environments Large scale systems and someone who has worked 0 -> 1 is a plus Strong system design skills expected at both levels - Tech-lead caliber. Requirements You will own the end-to-end ML model lifecycle from post-training through production - everything after the researchers hand off a trained model. Th...