Data Scientist

Overview

We’re looking for a mid-to-senior AI Engineer with strong backend skills and experience in either LLM-based systems or physiological signal processing to join our team full-time in Dehradun. You’ll help us build production-ready AI solutions that serve both our mobile app and our health monitoring tools.

You’ll work alongside a focused and collaborative team to build tools that power AI features for real-time insights, personalized recommendations, and health predictions. This is a research-heavy, hands-on engineering role requiring the ability to read papers, design prototypes, build robust APIs, and ship features into production.

What You’ll Work On

LLM-Focused Workstreams

• Build Python-based tools the LLM can call to:

- Analyze user health data (metrics, goals, activity)
- Recommend content from our health library (videos, articles)
- Generate structured meal plans

• Design APIs and integrate AWS serverless infrastructure for our mobile app
• Develop RAG pipelines or vector DB-based solutions if applicable

Computer Vision & Signal Processing Workstreams

• Improve and expand our physiological signal extraction models (e.g., rPPG for heart rate)
• Build ML models to predict health vitals and risk markers from video data
• Validate models using appropriate metrics (AUC, ROC, sensitivity, etc.)
• Maintain reproducibility through experiment tracking and rigorous documentation

Tech Stack

• Languages/Tools: Python, Jupyter, GitHub, JSON, REST APIs
• Frameworks: scikit-learn, NumPy, pandas, OpenCV, (Optional: PyTorch/Keras)
• Cloud & Infra: AWS Lambda, S3, (Optional: Bedrock, LangChain, Vector DBs)

What We Are Looking For:

Must-Haves:

• 3–4+ years of backend or applied ML development using Python
• Experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing
• Familiarity with structured data handling (REST, JSON) and serverless architectures (AWS Lambda)
• Strong grasp of ML model evaluation and ability to translate messy real-world data into clean pipelines
• Collaborative mindset with strong communication skills
• Comfortable working night shifts and from our Dehradun office

Nice to Have:

• Experience with physiological signal extraction or biomedical ML
• Knowledge of RAG pipelines, vector databases
• Contributions to peer-reviewed research or healthcare AI projects
• Interest in healthcare, nutrition, or wellness industries

We are looking for individuals who are not just technically skilled, but also aligned with our work culture and values:

• Work from Office: Willing to work full-time from our Dehradun office (No remote option).
• Night Shift Commitment: Comfortable working 5:00 PM to 2:00 AM IST, Monday to Friday (US Shift).
• Discipline & Responsibility: Punctuality and personal ownership of deliverables are non-negotiable.
• Team Collaboration: Must be proactive in communication, open to feedback, and collaborative in approach.
• Learning Attitude: Open to reading papers, exploring new techniques, and improving continuously.
• Confidentiality & Integrity: Must handle sensitive healthcare data with the utmost care and confidentiality.
• Professionalism: Able to work with focus, follow task timelines, and deliver clean, well-documented work.

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Schedule:

• Monday to Friday
• Night shift
• US shift

Application Question(s):

• Do you have experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing?

Education:

• Bachelor's (Required)

Experience:

• Work: 3 years (Required)

Language:

• English (Required)

Shift availability:

• Night Shift (Required)