Senior Software Engineer - ML Infra

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About this kind of role

What a Senior Software Engineer - ML Infra usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains infrastructure components supporting machine learning models, including data pipelines, model training platforms, and deployment systems. Collaborates with machine learning engineers and data scientists to optimize infrastructure for performance, scalability, and reliability. Troubleshoots and resolves complex issues related to machine learning infrastructure, ensuring smooth operation and efficient resource utilization. Implements monitoring and alerting systems to proactively identify and address potential problems.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), scripting languages (e.g., Python), and experience with distributed systems and databases is generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning are typically successful in this role.