Sr. Data Scientist
INR 1753K-2372K (estimate) Senior-level Full Time
Tasks
- Build automation using OpenAPI standards
- Create self healing adaptive workflows
- Deploy and optimize LLMs for inference
- Design generative AI and LLM solutions
- Design multi-agent systems
- Develop workflow orchestration systems
- Evaluate build and fine tune ML models and LLMs
- Implement MLOps and LLMOps pipelines
- Implement Model Context Protocol
- Implement RAG vector database and knowledge graph architecture
- Implement agent to agent communication
- Integrate RAG workflows into applications
- Integrate cloud and on premises infrastructure for LLM deployment
- Monitor log and observe production AI systems
Perks/Benefits
- Community Outreach Programs Charity Events
- Employee Resource Group
- Employee stock purchase program
- Health and wellness incentives
Skills/Tech-stack
Agent communication | Agent to Agent | Agent-to-Agent Communication | Airflow | Amazon Bedrock | Amazon SageMaker | Autogen | CI/CD | Chroma | CrewAI | Docker | Fine Tuning | Generative AI | Hugging Face | Hugging Face Transformers | Knowledge graphs | Kubernetes | LLMOps | LLMs | Langchain | Langgraph | Llamaindex | MLOps | Milvus | Model Context Protocol | Neo4j | OpenAPI | Pinecone | Prefect | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | Temporal | TensorFlow | Transformers | Vector Databases | Weaviate
Education
Roles
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