15 Aug
|
OmniMD
|
Ahmedabad
Job Description
Position: Data Scientist – LLM & Applied AI
Experience:
5+ 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 2–4 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-P
📌 Senior Data Scientist (Ahmedabad)
🏢 OmniMD
📍 Ahmedabad