remote
Senior Machine Learning Engineer - Programming.com
ML Engineer
Lead the design and deployment of advanced machine‑learning solutions on cloud platforms, driving end‑to‑end model development, optimization, and productionization for enterprise‑grade applications.
About the role
Key Responsibilities
- Architect, develop, and productionize scalable machine‑learning models for enterprise customers, leveraging both deep learning and traditional ML techniques.
- Collaborate with data engineers and product teams to build robust data pipelines and feature stores on Google Cloud Platform and AWS.
- Lead model evaluation, performance tuning, and continuous monitoring to ensure reliability and compliance with business KPIs.
- Mentor junior engineers, conduct code reviews, and promote best practices in reproducible research and MLOps.
- Stay current with state‑of‑the‑art research and integrate emerging algorithms to maintain a competitive edge.
Requirements
- 5+ years of hands‑on experience building and deploying machine‑learning models in production.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Extensive experience with cloud services (GCP, AWS) and containerization/orchestration tools (Docker, Kubernetes).
- Solid understanding of data engineering concepts, feature engineering, and model monitoring.
- Proven ability to lead technical projects and mentor engineering teams.
Skills
pythontensorflowpytorchawsdeep learning