AI / ML Engineer - GenAI - Data (Mumbai)

AI / ML Engineer - GenAI - Data (Mumbai)

13 Aug
|
Continuity 1
|
Mumbai

13 Aug

Continuity 1

Mumbai

Key Responsibilities

Reasoning & Requirement Refinement
- Challenge unclear or technically weak requirements with practical alternatives.
- Translate clinical and product requirements into clear, testable technical specifications.
- Proactively identify risks and failure modes before implementation.

GenAI & Conversational AI (80%)
- Design and build end-to-end RAG pipelines (ingestion, chunking, embeddings, vector stores, retrieval, generation).
- Integrate and evaluate LLMs (OpenAI, Claude, Gemini) with a focus on response quality, hallucination mitigation, and healthcare safety.
- Develop AI services using LangChain/LangGraph, Python, Flask, and REST APIs.
- Build prompt engineering and LLM evaluation frameworks covering relevance, accuracy, safety, and tone.
- Implement and optimize vector databases (FAISS, Pinecone, Weaviate) and embedding pipelines.

Machine Learning & Signal Engineering (1020%)
- Develop ML models and health signals from physiological data (CGM, HRV, sleep, activity, heart rate).




- Engineer meaningful features for time-series health data and evaluate model confidence, accuracy, and edge cases.
- Apply explainable and clinically defensible ML approaches, choosing the simplest effective model.

Data Engineering
- Build, debug, and maintain data pipelines in Python and C#.
- Manage end-to-end health data flow from connected devices through ingestion, transformation, storage, and AI consumption.
- Resolve data quality issues and work with structured/time-series data, including normalization, windowing, gap handling, sensor dropouts, and timezone-aware aggregation.

Healthcare AI & Production
- Build clinically secure AI systems that detect and surface incorrect or uncertain outputs.
- Ensure HIPAA-compliant data handling and healthcare best practices.
- Collaborate closely with clinicians to develop production-ready AI features.
- Own features end-to-end, from requirements and deployment to monitoring, evaluation, and production debugging.
- Non-n

📌 AI / ML Engineer - GenAI - Data (Mumbai)
🏢 Continuity 1
📍 Mumbai

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