Principal Architect GenAI and ML Ops
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Automate model lifecycle management
- Build retrieval-augmented generation pipelines
- Design scalable cloud architectures
- Develop ML and GenAI pipelines
- Ensure AI governance and security
- Evaluate GenAI tools via proof of concepts
- Implement CI/CD, testing, and deployment
- Integrate LLMs into business workflows
- Mentor engineering and data science teams
- Operationalize AI model deployment
- Optimize hybrid and multi cloud AI infrastructure
- Set up model monitoring and observability
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent systems | Airflow | Apache Spark | Azure | Cost Optimization | Data Governance | Data Management | Deep learning | Diffusion Models | Distributed Systems | Docker | FastAPI | Feature Engineering | Feature Store | Flask | GenAIOps | Generative AI | GitHub Actions | Hadoop | Jenkins | Jupyter | Keras | Kubeflow | Kubernetes | Langchain | Langgraph | Langsmith | MLOps | MLflow | Machine Learning | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenAI | Prompt engineering | PyTorch | Python | RAG Pipelines | Retrieval-Augmented Generation | SQL | SageMaker | Scikit-learn | Secure Data | Secure Data Management | TensorFlow | Transformers | Vector Databases
Education
Regions
Countries
States
Cities
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