About the job
AIML OPS Engineer JD • 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 it scalable, high performance and resilient. • Contribute to future roadmap and key architecture decisions.
Requirements
- Containerization
- OpenShift
- Kubernetes
- Helm Charts
- Triton
- vLLM
- Grafana
- Prometheus
- Python
Preferred Technologies
- Containerization
- OpenShift
- Kubernetes
- Helm Charts
- Triton
- vLLM
- Grafana
- Prometheus
- Python
About the company
ValueLabs is a global consulting and services company specializing in IT, consulting, and business services.
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