Machine Learning Engineer at Tiger Analytics · Chennai, Bengaluru (Bangalore) · 4 - 8 years · ₹6L - ₹20L / yr · Profitable · Posted 22 Dec 2023
Machine Learning (ML)
Deep Learning• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
Shubham Vishwakarma
Full Stack Developer - Averlon
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Lead RAG / Knowledge AI Engineer - (Freelance)
Positions: 1
Experience: Ideally 6–10 years, with strong recent production RAG experience.
Mission
Own UC1's permission-aware enterprise knowledge and retrieval architecture.
Mandatory capabilities
- Python
- Production RAG
- Embeddings
- Vector search
- Hybrid search
- BM25/sparse retrieval
- Semantic search
- Document chunking
- Metadata extraction/filtering
- Query transformation
- Reranking
- Context engineering
- Grounded generation
- Citation generation
- Hallucination mitigation
- RAG evaluation
Strong experience with Milvus, pgvector, Qdrant, Weaviate, Pinecone, Elasticsearch/OpenSearch vector search or equivalent.
Major differentiator
Prior implementation of:
User Identity $B"*(J Source ACL $B"*(J Retrieval Filter $B"*(J Search $B"*(J Reranking $B"*(J Authorized Context $B"*(J LLM
Experience with SharePoint, Microsoft Graph, Microsoft 365, Confluence and Entra ID/Azure AD should receive significant preference.
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Full Stack Developer - Averlon