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We're Hiring: ML/AI Engineer (Data Science Focus) | Join Simplify Healthcare

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Simplify Healthcare is on a mission to revolutionize online AI-driven workflows with intelligent, context-aware AI agents. We're searching for an ML/AI Engineer (Data Science Focus) to drive excellence and innovation in our platform.

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If you're passionate about bridging traditional data science with cutting-edge generative AI, love challenges like enhancing retrieval algorithms, fine-tuning LLMs, or optimizing the intersection of data and AI, we want YOU on our team.

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Location: Hybrid/Remote

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Role Type: Full time | Engineering

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Experience: 4–7 years in Data Science, Machine Learning, or Applied AI

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What You'll Do

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As our ML/AI Engineer, here's what your day-to-day might look like:

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Advanced Retrieval & Optimization:

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Design and implement next-level Retrieval Augmented Generation (RAG) systems for document and web scraping agents. Move beyond basic semantic search by combining keyword + dense vector search, optimizing document chunking, and incorporating Cross-Encoder reranking (Cohere, BGE) to amplify AI context relevance.

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Data Engineering Superpower

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Craft end-to-end data pipelines to handle complex structured and unstructured data for integration into our vector databases like Qdrant or PostgreSQL (pgvector). Accuracy starts with clean data—you'll ensure ours is pristine.

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LLM Fine-Tuning & Deployment:

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Fine-tune cutting-edge LLMs such as Llama 3 and Mistral using techniques like LoRA/QLoRA. Reduce latency and costs while improving accuracy, and deploy models via high-throughput engines like vLLM or Ray Serve.

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LLMOps Mastery

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Implement automated evaluation systems (using tools like RAGAS, TruLens) to measure and refine performance metrics.



Continuously optimize our systems by minimizing hallucination and improving retrieval precision.

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Blend Traditional ML with AI Innovation:

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Develop classifiers, NER solutions, and other ML models to complement workflows. Support deterministic pre-processing alongside generative AI layers.

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Collaborate Across Teams

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Partner with Senior AI Technical Leads and Full Stack Developers to refine system prompts and serve scalable AI endpoints using FastAPI.

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Our Ideal Candidate

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You're an analytical problem-solver who obsesses over data quality, accuracy, and stability. You balance theoretical AI research with the engineering practicality of shipping production-grade solutions. Here's what makes you shine:

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Minimum 4–7 years of experience in Machine Learning, Data Science, or Applied AI Engineering.

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Exceptional, production-level Python skills, along with SQL mastery for data management.

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Deep math and practical understanding of embeddings, vector search techniques, and NLP methodologies.

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Proven experience deploying open-source models and working with LLM APIs (OpenAI, Anthropic, HF Transformers).

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Bonus: Played a critical role in building ML systems powering Doc Agents, Web Scraping Agents, RAG frameworks, Voice Agents, or Data Builders.

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Your Toolkit

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Here's the tech stack you'll work

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- Languages: Python (Expert), SQL (Advanced)
- AI/ML Tools: PyTorch, Hugging Face, NumPy, Scikit-learn, Pandas, NLTK/SpaCy
- GenAI/RAG Frameworks: LlamaIndex, LangChain, OpenAI/Anthropic APIs
- Databases: Qdrant, PostgreSQL (pgvector), Supabase
- LLMOps: RAGAS, TruLens, Langfuse, W&B;
- Infrastructure: Docker, Git, CI/CD for MLOps

Interested in joining a high-impact team at the forefront of AI innovation? Apply now and simplify the complex, with SimplifyHealthcare.n

#AIJobs #MachineLearning #DataScience #GenerativeAI #LLMOps #MLCareer

Apply on Kit Job: kitjob.in/job/480znt

📌 Senior Data Scientist (Navi Mumbai)
🏢 Simplify Healthcare
📍 Navi Mumbai