Senior AI Platform Engineer, Infrastructure Services

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

About this kind of role

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

Typically does: Designs, builds, and maintains the infrastructure supporting artificial intelligence and machine learning models. This includes developing scalable and reliable data pipelines, managing cloud-based resources, and automating deployment processes. Responsibilities often involve optimizing performance, ensuring security, and collaborating with data scientists and machine learning engineers. Focus is on the underlying systems that enable AI applications.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), scripting languages (e.g., Python), and infrastructure-as-code tools (e.g., Terraform, Ansible) is generally required.

Good fit for: Individuals with a strong background in DevOps, systems engineering, or a related field, and a passion for enabling cutting-edge AI solutions, are typically successful in this role.