As a Platform Engineer focusing on Machine Learning, you'll design and manage cloud platforms that support various ML projects. This role is perfect for someone who enjoys working at the intersection of cloud infrastructure and machine learning.
In this role as a Platform Engineer, you'll be responsible for designing and operating cloud platforms that support machine learning initiatives. Your work will involve creating and maintaining infrastructure primarily on AWS, ensuring that it meets the needs of various ML projects. You'll also focus on building reusable platform tooling and automation systems that other engineers can utilize, enhancing overall efficiency and productivity.
Your day-to-day tasks will include working on projects like ML competition platforms, GPU-based compute environments, and secure multi-tenant cloud infrastructure. You'll be involved in developing internal developer tooling and orchestration systems, as well as implementing CI/CD and deployment automation processes. Staying current with the latest trends in cloud and machine learning infrastructure will be essential to your success in this role.
This position is ideal for someone who has a strong background in cloud infrastructure and a passion for machine learning. If you enjoy working in a fast-paced environment and are eager to tackle complex challenges, this could be the perfect fit for you.
Key requirements for this role include expertise in cloud infrastructure design, particularly with AWS, and a solid understanding of automation systems and distributed systems. Familiarity with Docker and CI/CD practices will be beneficial, but the primary focus will be on your ability to create robust and scalable machine learning infrastructure.
You'll be taken to the original listing on PNet to apply.