Machine Learning Engineer 2
Core
Develop and maintain scalable APIs and Kubernetes environments for deploying and operating AI and machine learning models.
Role type
Senior IC backend engineer (ML infrastructure)
Builds
Production-ready AI/ML services, scalable APIs, and distributed computing environments
Domain
Cloud computing, AI/ML infrastructure, distributed systems
Deliverable
production ML models
Required skills
Python, JavaScript, REST/gRPC API design, Kubernetes, cloud computing, serverless functions, distributed computing, system design, code review, mentoring
Preferred skills
Azure AI Studio, Power Platform, Certified Kubernetes Application Developer, DevOps best practices
Technologies
Kubernetes, Microsoft Azure, REST, gRPC, websockets, webhooks, serverless
Responsibilities
Design and build backend services for AI workloads, integrate scalable APIs with ML models, collaborate on transitioning AI solutions to production, implement testing and monitoring for AI deployments
Seniority
Senior, hands-on IC
