AI ML Engineer
Pune - Hinjewadi (Ascendas), India
INR 2500K-4800K (estimate) Senior-level Full Time
Tasks
- Apply metadata filtering of search results
- Build AI search and retrieval systems
- Build backend services and APIs for search retrieval and LLM calls
- Create Azure OpenAI powered generative QandA
- Design Azure AI Search indexes for enterprise documents
- Design prompts to reduce hallucinations and enable citations
- Develop Retrieval-augmented generation solutions
- Ensure compliance for sensitive data
- Generate embeddings for retrieval pipelines
- Implement document level access control for retrieval
- Implement vector search and hybrid search
- Integrate AI search into internal applications
- Log prompts citations and outputs for audit and debugging
- Mentor engineers on AI search and retrieval architecture
- Monitor retrieval relevance answer accuracy and latency
- Orchestrate secure AI workflows
Perks/Benefits
Skills/Tech-stack
AI Search | Access Control | Azure | Azure AI | Azure AI Search | Azure OpenAI | Docker | Document Access Control | Embedding Generation | Hybrid search | Kubernetes | Language Models | Large Language Models | Latency optimization | Logging | Metadata filtering | Observability | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Security | Semantic ranking | Vector Search
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Software Engineer
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