developing and maintaining scalable APIs
supporting the deployment and operation of machine learning models
collaborating with Machine Learning Engineers teams
implementing system architectures that support scaling and distributed computing needs

Software engineering experience in a production environment
strong background in system design and architecture
expertise in programming languages such as Python and JavaScript
experience writing scalable, production-level code
solid understanding of scaling strategies and distributed computing principles
experience creating and interacting with RESTful HTTPS APIs, websockets, and webhooks
experience with at least one Cloud Computing platform
experience with serverless functions
Certified Kubernetes Application Developer (CKAD) certification or similar credentials

AI Platform Engineer

Key skills