Senior Platform Engineer (AI Applications)

About this kind of role

What a Senior Platform Engineer (AI Applications) usually does. The employer's own details are in the listing.

Typically does: A Senior Platform Engineer builds and maintains the underlying infrastructure that supports artificial intelligence applications. This involves designing, developing, and deploying scalable and reliable platforms for machine learning models and data pipelines. Responsibilities often include automation, monitoring, and troubleshooting to ensure optimal performance and availability. They collaborate with data scientists, machine learning engineers, and other stakeholders to meet evolving platform needs.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), scripting languages (e.g., Python, Bash), and experience with DevOps practices is generally required.

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