Job Description
Build and maintain containerized applications using OpenShift, OpenShift AI, Kubernetes, and Helm charts.
- Integrate and optimize inference engines such as Triton and vLLM for scalable model serving.
- Lead model deployment, monitoring, and lifecycle management in production environments.
- Implement monitoring and alerting solutions using Grafana and Prometheus.
- Collaborate on GenAI and LLM projects, including Agentic AI initiatives.
- Automate CI/CD pipelines and infrastructure using Jenkins, Ansible, Groovy, and Terraform.
- Develop automation scripts and tools in Python.
- Architect, deploy, and manage AI/ML solutions on AWS Cloud; experience with Bedrock and SageMaker is a plus.
- Build and enhance AI Platform ( both on premise and in public cloud).
- Make is scalable, high performance and resilient
- Contribute to future road map and key architecture decisions.
