Senior/Principal Platform Engineer, ML Platform

About this kind of role

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

Typically does: Designs, builds, and maintains the infrastructure and tools that support machine learning model development, training, and deployment. This role focuses on scalability, reliability, and automation of ML workflows, often working closely with data scientists and ML engineers. Responsibilities include optimizing performance, ensuring data integrity, and implementing robust monitoring and alerting systems. A key focus is often on enabling self-service capabilities for ML practitioners.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), programming languages (Python, Java), and experience with DevOps practices and CI/CD pipelines is generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling machine learning innovation thrive in this role.