Principal AIOps and DevOps Engineer
Tasks
- Automate model lifecycle management
- Build development and deployment pipelines
- Conduct research and proof of concept for GenAI tools
- Deploy AI solutions in hybrid and multi cloud environments
- Develop ML and GenAI pipelines
- Evaluate GenAI and MLOps frameworks
- Implement CI/CD for AI models
- Integrate LLMs into business workflows
- Manage ML Ops and GenAI Ops processes
- Mentor teams on productionizing AI models
- Monitor and ensure observability for models
- Operationalize AI model deployment
- Optimize infrastructure for AI workloads
- Set up testing and governance for models
Perks/Benefits
- Flexible working
- Health and wellness coverage
- Leave programs
- Recognition and incentive programs
- Retirement and savings plans
- Work-life balance support
Skills/Tech-stack
AWS | Agent systems | Artificial Intelligence | Azure | Bedrock | CI/CD | Docker | Faiss | GenAIOps | Generative AI | GitHub Actions | Jenkins | Kubernetes | LLM Prompt | LLM Prompt Engineering | Langchain | Langgraph | Langsmith | MLOps | MLflow | Machine Learning | Milvus | Multi-Agent | Multi-Agent Systems | Pinecone | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SageMaker | Vector Databases
Education
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