Sr Staff AIOps Engineer
Tasks
- Automate model lifecycle management
- Build development and deployment pipelines for AI applications
- Develop ML and GenAI pipelines
- Evaluate GenAI and MLOps tools via proof of concept
- Implement CI/CD, testing, and deployment
- Integrate generative AI into business workflows
- Mentor teams on productionizing AI models
- Operationalize AI model deployment
- Optimize infrastructure for AI workloads in hybrid and multi cloud
- Set up observability and monitoring for AI models
Perks/Benefits
- Flexible working
- Health and wellness coverage
- Recognition and incentive programs
- Retirement and savings plans
- Work-life balance support
Skills/Tech-stack
AWS | Azure | Bedrock | CI/CD | Docker | GitHub Actions | Jenkins | Kubeflow | Kubernetes | LLM Prompt | LLM Prompt Engineering | Langchain | Langgraph | Langsmith | MLOps | MLflow | Multimodal Models | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SageMaker | Vector Databases
Education
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