- Hyderabad, Telangana, India
- Full-time · Mid
- 4–8 years
Responsible for developing and maintaining scalable APIs and Kubernetes environments that support the deployment and operation of AI and machine learning models.
Responsibilities
- Developing and maintaining scalable APIs and Kubernetes environments for AI and machine learning models.
- Design and development of backend services supporting AI workloads, including REST/gRPC APIs, job orchestration, asynchronous task processing, data/model lifecycle management.
- Design, build, and maintain scalable and robust APIs that integrate with machine learning models.
- Deploy and manage Kubernetes environments to ensure reliable operation of AI systems.
- Collaborate with Machine Learning Engineers teams to take AI solutions from Proof of Concept to production readiness.
Requirements
- Nice to have: Microsoft Azure
- Nice to have: Power Platform
- Nice to have: Azure AI Studio
- Nice to have: Certified Kubernetes Application Developer (CKAD)
- Nice to have: DevOps