Machine Learning Engineer

Title: Senior ML Engineer (GCP) Location: Remote Job type: Full Time Only W2 no C2C Please share your resume at anoop.j@precisiontechcorp.com Note: Need candidates with 10+ years of experience. GCP cloud experience is mandatory. Client is looking for ML engineers, not GenAI/Agentic AI Engineers or MLOps Engineers. Job Description: You will own the end-to-end ML model lifecycle from post-training through production - everything after the researchers hand off a trained model. This is not a research role. You are the engineer who takes models and makes them real: benchmarked, deployed, monitored, and integrated into live production applications. You will work directly with ML researchers, production engineers, and platform teams in a fast-moving hybrid cloud environment. Technical Stack: 10+ experience • Primary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling) • Production integration: Java-based streaming pipelines (model integration layer) • Infrastructure: Hybrid — on-premise streaming + GCP serving stacks • Distributed systems: Working knowledge required for debugging and end-to-end testing (not deep expertise) • Machine Learning frameworks: TensorFlow, PyTorch, JAX or similar 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.