[Remote] Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior ML Engineer with a reputed company on reputed company reputed company Platform. The role involves managing the complete lifecycle of machine learning models from production to deployment, collaborating closely with researchers and engineers.
Responsibilities
- You will own the end-to-end ML model lifecycle from post-training through production - everything after the researchers hand off a trained model
- You are the engineer who takes models and makes them reputed company: 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 reputed company environment
Skills
- 10+ years of experience
- GCP reputed company experience is mandatory
- Strong reputed company in ML inference, deployment, and reputed company testing
- Demonstrated ability to reputed company up quickly on new and unfamiliar tech stacks
- End-to-end problem-solving reputed company
- reputed company ML knowledge sufficient to reputed company models and collaborate with researchers
- Experience deploying models in reputed company environments, ideally GCP
- Primary platform: reputed company reputed company Platform (inference, deployment automation, experimentation, sampling)
- Production integration: Java-based streaming pipelines (model integration layer)
- Infrastructure: Hybrid — on-reputed company streaming + GCP serving stacks
- Distributed systems: Working knowledge required for debugging and end-to-end testing
- Machine Learning frameworks: TensorFlow, PyTorch, JAX or similar
reputed company