Position: Data Scientist – LLM & Applied AI

Experience: 6 to 9 Years
Employment Type: Full-Time
Domain: Healthcare AI / Digital Health / SaaS Platforms
Reporting To: CTO

Role Summary

We are seeking a highly hands-on Data Scientist with 5 to 7 years of experience who is deeply proficient in Large Language Models (LLMs)—both open-source and commercial—and has solid expertise in prompt engineering, applied machine learning, and local LLM deployments.
This role is not purely academic. The ideal candidate will work on real-world AI systems including AI Frontdesk, AI Clinician, AI RCM, multimodal agents, and healthcare-specific automation, with a focus on production-grade AI, domain-aligned reasoning, and privacy-aware architectures.

Key Responsibilities

1. LLM Research, Evaluation & Selection
Evaluate, benchmark, and compare open-source LLMs (LLaMA-2/3, Mistral, Mixtral, Falcon, Qwen, Phi, etc.) and commercial LLMs (OpenAI, Anthropic, Google, Azure).
Select appropriate models based on latency, accuracy, cost, explainability, and data-privacy requirements.




Maintain an internal LLM capability matrix mapped to specific business use cases.

2. Prompt Engineering & Reasoning Design
Design, test, and optimize prompt strategies:
Zero-shot, few-shot, chain-of-thought (where applicable)
Tool-calling and function-calling prompts
Multi-agent and planner-executor patterns
Build domain-aware prompts for healthcare workflows (clinical notes, scheduling, RCM, patient communication).
Implement prompt versioning, prompt A/B testing, and regression checks.

3. Applied ML & Model Development
Build and fine-tune ML/DL models (classification, NER, summarization, clustering, recommendation).
Apply traditional ML + LLM hybrids where LLMs alone are not optimal.
Perform feature engineering, model evaluation, and error analysis.
Work with structured (SQL/FHIR) and unstructured (text, audio) data.

4. Local LLM & On-Prem Deployment
Deploy and optimize local LLMs using frameworks such as:
Oll

📌 Data Scientist – LLM (Ahmedabad)
🏢 OmniMD
📍 Ahmedabad