Senior AI Infrastructure & Cloud Engineer

About this kind of role

What a Senior AI Infrastructure & Cloud Engineer 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, often focusing on cloud-based solutions. This role involves automating deployment pipelines, scaling resources to handle large datasets, and ensuring the reliability and security of AI systems. Responsibilities frequently include optimizing performance, troubleshooting issues, and collaborating with data scientists and machine learning engineers. They may also research and implement new technologies to improve the efficiency of AI workflows.

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 systems engineering and a passion for enabling cutting-edge AI applications thrive in this role.