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AI/ML Engineer - Data Modeling Job Opening In India, India – Now Hiring Snaphunt Pte Ltd


Job description

<p><p><b>Core member of the founding team :</b></p><p><br/></p><p>Our client is a startup building a next-generation healthcare assistant that delivers truthful, scientifically cited, and actionable health insights to both consumers and doctors.

Launching first as a web app (with mobile soon to follow), the long-term vision is to evolve into a personalized health companion that integrates seamlessly with users health apps and provides comprehensive, continuous support.<br/><br/><b>The Job :</b></p><p><br/></p><p>As an AI/ML Engineer - RAG Specialist, you will be a core member of the founding team, designing and deploying production-grade RAG (Retrieval-Augmented Generation) systems and semantic retrieval pipelines for our healthcare assistant.

Youll be working at the intersection of AI, healthcare, and real-world impact - building scalable, accurate, and trustworthy systems that deliver scientifically cited insights to consumers and doctors.<br/><br/>This role is ideal for an engineer with strong expertise in LLMs, data retrieval systems, and a deep passion for applying AI to solve meaningful problems.<br/><br/><b>Key Responsibilities :</b></p><p><br/></p><p>- Design, develop, and deploy production-grade RAG pipelines (Graph RAG, Neo4j, vector databases).<br/><br/>- Build and optimize LLM-based solutions using frameworks like LangChain, LlamaIndex, and Hugging Face Transformers.<br/><br/>- Create and manage scalable data pipelines for structured and unstructured healthcare data.<br/><br/>- Fine-tune LLMs for domain-specific accuracy, reasoning, and reliability.<br/><br/>- Deploy ML models on AWS SageMaker/Bedrock, build APIs/microservices for production, and ensure scalability.<br/><br/>- Collaborate in an agile startup environment with a high sense of ownership and end-to-end responsibility.<br/><br/><b>Ideal Candidate :</b></p><p><br/></p><p>- You hold a Bachelors or Masters degree in Computer Science, with specialized coursework in AI/ML engineering.<br/><br/>- You have 2+ years of hands-on experience in Python and building production-grade RAG applications, preferably including Graph RAG.<br/><br/>- Understanding of retrieval metrics, generation quality assessment, and hallucination detection.

Ability to design and implement automated evaluation pipelines for continuous quality monitoring.<br/><br/>- You have gained strong exposure to vector databases (FAISS, Pinecone, Weaviate, ChromaDB) and graph stores (Neo4j).<br/><br/>- Proficiency with LLMs (GPT, Llama, Claude, etc.) and frameworks like LangChain, LlamaIndex, Hugging Face is required.<br/><br/>- You possess a good hold of embeddings, semantic search, and information retrieval systems.<br/><br/>- You are familiar with MLOps practices (deployment, monitoring, optimization)<br/><br/>- You thrive in fast-paced, AI-first environments and are driven to perform in remote teams.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Snaphunt Pte Ltd interview tips for AI/ML Engineer   Data Modeling

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