Job Responsibilities
Systems Thinking & Solution Design
Decompose business problems into technical components — identify what needs an ML model, what needs a rule, what needs a knowledge graph, and what needs a human in the loop.
Design end-to-end system architectures for AI/ML solutions: data ingestion, feature engineering, model training, serving, monitoring, and feedback loops — with transparent rationale for each design choice.
Anticipate failure modes, bottlenecks, and degradation paths; design for observability and graceful failure from day one, not as an afterthought.
Machine Learning Engineering
Build, train, evaluate, and tune ML models for insurance use cases such as claims severity prediction, fraud detection, risk scoring, document classification, and policy matching.
Implement feature engineering pipelines that are reproducible, versioned, and decoupled from model training — so features can be reused across models and teams.
Go beyond accuracy: evaluate models on business-relevant metrics (cost-of-error, false-positive impact, fairness), not just AUC and F1.




Generative AI & LLM Engineering
Build production-grade GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), tool/function calling, and Agentic AI frameworks (LangGraph, CrewAI, AutoGen).
Design prompt and context engineering strategies grounded in domain-specific knowledge — insurance terminology, regulatory language, claims narratives.
Build evaluation pipelines for GenAI outputs: correctness, faithfulness, relevance, latency, and cost — using frameworks such as RAGAS, LangSmith, or custom harnesses.
Knowledge Engineering & Enterprise Intelligence
Ability to work with model domain knowledge as structured, queryable assets — ontologies, knowledge graphs, taxonomy mappings, and enriched metadata layers — that ground AI systems in the customer’s business vocabulary.
Build enterprise intelligence capabilities that combine structured data, unstructured documents, and domain rules into unified,

📌 Senior AI/ML Engineer (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad