onsite
Staff Machine Learning Engineer, Foundation
ML Engineer
Lead the design, development, and deployment of foundational ML models across AWS and Azure platforms, ensuring high performance, scalability, and rigorous code quality through comprehensive reviews.
About the role
Key Responsibilities
- Architect and implement large-scale machine learning pipelines using AWS and Azure services.
- Collaborate with cross-functional teams to translate business requirements into robust ML solutions.
- Conduct thorough code reviews, enforce best practices, and mentor junior engineers.
- Optimize model performance, scalability, and cost-efficiency across cloud environments.
- Stay current with emerging ML technologies and integrate them into production workflows.
Requirements
- Extensive experience in machine learning engineering, with a strong background in C++ development.
- Proficiency in AWS and Azure ML services, including model deployment and monitoring.
- Deep understanding of software engineering principles, version control, and CI/CD pipelines.
- Excellent communication skills and a proven track record of leading technical initiatives.
Skills
machine learningawsazurec