Tech Lead Machine Learning Infrastructure Engineer - Recommendations and Search

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About this kind of role

What a Tech Lead Machine Learning Infrastructure Engineer - Recommendations and Search usually does. The employer's own details are in the listing.

Typically does: This role focuses on designing, building, and maintaining the infrastructure that supports machine learning models, specifically those used for recommendations and search. Responsibilities include scaling machine learning pipelines, optimizing model deployment, and ensuring the reliability and performance of the underlying systems. The engineer will collaborate with machine learning scientists and other engineers to translate research into production-ready solutions. They also monitor system health and troubleshoot issues to maintain optimal functionality.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Google Cloud, Azure), containerization technologies (e.g., Docker, Kubernetes), programming languages like Python and Java, and experience with big data processing frameworks (e.g., Spark, Hadoop) is generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning infrastructure, who enjoy problem-solving and working in a collaborative environment, typically thrive in this position.