Senior Platform Engineer – AI/ML Infrastructure

About this kind of role

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

Typically does: Designs, builds, and maintains the infrastructure that supports artificial intelligence and machine learning models. This includes developing scalable data pipelines, managing cloud-based environments, and automating deployment processes. They often collaborate with data scientists and machine learning engineers to optimize performance and ensure reliability. A Senior Platform Engineer in this area focuses on the long-term stability and evolution of the AI/ML infrastructure.

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 infrastructure-as-code tools is generally required.

Good fit for: Individuals with a strong background in DevOps principles and a passion for building robust, scalable systems that enable advanced analytics and machine learning are typically successful in this role.