Senior Software Engineer, ML Infrastructure Platform

About this kind of role

What a Senior Software Engineer, ML Infrastructure Platform usually does. The employer's own details are in the listing.

Typically does: Senior Software Engineers specializing in Machine Learning Infrastructure design, build, and maintain scalable platforms for machine learning workflows. This includes developing tools and services to support model training, deployment, and monitoring. They often collaborate with data scientists and machine learning engineers to optimize performance and reliability. Troubleshooting and resolving complex issues within the machine learning infrastructure is also a core responsibility.

Tools and skills: Proficiency in Python, cloud platforms like AWS or Google Cloud, containerization technologies like Docker and Kubernetes, and experience with machine learning frameworks such as TensorFlow or PyTorch is generally expected.

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