onsite
ML Engineer - USG, Inc.
ML Engineer
Senior ML Engineer responsible for moving models from experimentation to production, building scalable inference APIs, optimizing performance, and automating training and deployment pipelines using Python, TensorFlow, Docker, Kubernetes, and AWS.
About the role
Key Responsibilities
- Design, develop, and maintain production‑grade APIs and services that serve ML models in real‑time and batch environments.
- Optimize model inference speed and scalability through profiling, model compression, and efficient resource allocation.
- Build and maintain automated CI/CD pipelines for model training, validation, and deployment using Docker, Kubernetes, and cloud services.
- Collaborate with data scientists to translate research prototypes into robust, reproducible production workflows.
- Monitor model performance in production, implement drift detection, and trigger retraining cycles as needed.
Requirements
- 5+ years of experience in machine learning engineering or related field.
Skills
pythontensorflowdockerkubernetesawscicd