Senior Machine Learning Engineer

About the Role

As a Senior Machine Learning Engineer, you will play a crucial role in designing, implementing, and maintaining production-grade ML services. You will work closely with data scientists, product managers, and other engineers to solve complex challenges and improve our machine learning infrastructure.

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.