Senior / Staff Cloud Platform Engineer (ML)

About this kind of role

What a Senior / Staff Cloud Platform Engineer (ML) usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains cloud infrastructure and platforms to support machine learning workloads. This includes automating deployments, managing resources, and ensuring scalability and reliability. They often collaborate with data scientists and machine learning engineers to optimize the environment for model training and deployment. Responsibilities can also involve implementing security best practices and monitoring system performance.

Tools and skills: Proficiency in cloud platforms like AWS, Azure, or Google Cloud, along with experience in scripting languages (Python, Bash), containerization technologies (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) is generally expected.

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