AI/ML Ops/GPU acceleration

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.