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Senior Machine Learning Engineer
Machine Learning Engineer
The Senior Machine Learning Engineer will architect, implement, and maintain production-grade ML services for various use cases, collaborating with cross-functional teams. This role involves designing experimentation frameworks, advising on data strategy, and enhancing an AWS-native MLOps platform.
About the role
About the Role
We are seeking a Senior Machine Learning Engineer to join our team. In this role, you will be instrumental in developing and maintaining advanced ML services and platforms.
Responsibilities
- Architect, implement, and maintain production-grade, low-latency ML services for ranking, recommendation, and forecasting use cases.
- Collaborate with data scientists, product managers, and engineers to identify the best technical approaches to product and infrastructure challenges.
- Design and support experimentation frameworks to test hypotheses and measure improvements to models.
- Advise on data strategy, ensuring high-quality, well-structured datasets are available for current and future data science initiatives.
- Deliver machine learning models that meet agreed engineering standards, ensuring scalability, resilience, and long-term maintainability.
- Enhance and evolve an AWS-native MLOps platform, supporting high availability and low-latency inference.
- Monitor, maintain, and continuously improve deployed models in production environments.
- Contribute positively to team culture, demonstrating curiosity, ownership, and a bias toward learning and improvement.