Manager, Data Science and AI
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply privacy and compliance controls
- Build APIs and integrations for AI capabilities
- Build and deploy AI agents
- Conduct design and code reviews
- Develop RAG pipelines
- Implement MLOps pipelines
- Implement and configure LLMs
- Ingest transform and serve data pipelines
- Integrate vector databases
- Monitor models for drift and latency
- Orchestrate multi-agent systems
- Write production-grade Python code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Development | AWS Bedrock | Agent Orchestration | Autogen | Azure AI | Azure AI Search | Azure ML | Azure OpenAI | Context window | CrewAI | Deployment Automation | Drift Detection | Embedding Models | GCP Vertex | GCP Vertex AI | Generative AI | Human-in-the-loop | Hybrid search | LLM integration | Langchain | Llamaindex | MLOps | Model Monitoring | Model versioning | Output guardrails | PGVector | Pinecone | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | SQL | SageMaker | Semantic Search | The Loop | Tool use | Vector Databases | Vertex AI | Weaviate
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