Generative AI Engineer - Healthcare
Mango Sciences · Mumbai · onsite · Posted 38d ago
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About this role
- We are looking for a seasoned AI Engineer (36 years experience) to lead the development of the intelligent layer for our proprietary platform, Querent
- You will architect advanced RAG systems and Agentic workflows to transform messy, unstructured Electronic Health Records (EHR) into life-saving clinical insights
- In this role, you will fine-tune both open-source and proprietary LLMs for medical domain specificity, ensuring high precision and reduced hallucinations in critical healthcare contexts
- You will collaborate with cross-functional teams to deploy production-grade, HIPAA/GDPR-compliant models that directly impact patient outcomes, drug discovery, and clinical trials for million lives
- If you are a Python expert with a deep background in LLM, GenAI, NLP, Vector Databases, and MLOps, we invite you to build the future of equitable, data-driven healthcare with us
- Key Highlights for Your Outreach:The Tech Stack: Python, PyTorch/TensorFlow, LangChain/LlamaIndex, Pinecone/Milvus, and Cloud MLOps (AWS/Azure/GCP)
- The Impact: Building the world's largest non-Caucasian oncology dataset to solve healthcare disparities
- The Innovation: Implementing state-of-the-art Agentic AI and multi-modal clinical data structuring.
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About Mango Sciences
Mango Sciences
Healthcare
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About
Mango Sciences is a leading emerging market data science company connecting millions of underrepresented patients to precision medicine. The company’s Querent™ platform utilizes industry-leading AI analytics to transform deep clinical data into key insights that drive global health improvements. Mango Sciences is currently partnering with hospitals to understand the health data of individuals in India and other emerging markets to drive advancement in patient care and drug discovery for all populations.
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