Data Scientist / Developer – Health & Product Innovation

Your ML Models Will Save Lives. Not Clicks. Not Metrics. Lives.

You didn't become a Data Scientist to optimize ad clicks.

You chose this field to solve problems that matter. To push boundaries. To see your work create real impact.

Here's your chance.

We're building AI systems that reduce humanity's dependence on pharmaceuticals and surgery—transforming global health through Transformers, RAG, Vector Search, and Generative AI.

The challenge:

• Novel problems where standard solutions don't exist
• Full ownership: research → production → millions of lives
• Cutting-edge stack: LLaMA, LoRA/QLoRA, Vector DBs, LangChain, vLLM
• Collaborative team that values your creativity

The impact:

This isn't just another ML job. This is the intellectual challenge with the impact you've been looking for.

About Our Organization

We're a global leader in natural health, reaching millions worldwide through evidence-based content and premium health products. We're building AI systems to personalize health optimization, making expert-level health guidance accessible to everyone.

Our Mission:

Your Role:

Key Responsibilities

What You'll Build

AI Model Development:

• Design Transformer-based architectures using Attention Mechanisms and NLP techniques
• Implement Fine-Tuning with LoRA and QLoRA for LLaMA, BERT adaptation
• Build RAG (Retrieval-Augmented Generation) systems with Vector Search
• Develop Sentence Transformers for semantic similarity

Vector Search & Databases:

• Build Vector Databases using FAISS, Milvus, and HNSW algorithms
• Implement Approximate Nearest Neighbor (ANN) search at scale
• Optimize vector indexing for millions of documents

Model Evaluation & Classical ML:

• Design evaluation with ROC-AUC, Precision-Recall, PR-AUC metrics
• Build Ensemble Models: Bagging, Boosting, Random Forest, XGBoost
• Apply K-means Clustering and understand Bias-Variance Trade-off
• Implement Gradient Boosting for structured data

MLOps & Production:

• Deploy with MLOps using MLflow for tracking
• Implement Model Monitoring and Drift Detection
• Optimize inference: ONNX Runtime, TensorRT, vLLM
• Build FastAPI services with LangChain, LlamaIndex
• Manage ETL pipelines using Apache Spark

Required Skills

Core: Python, PyTorch, TensorFlow, Keras, scikit-learn, NumPy, Pandas

NLP: Hugging Face Transformers, PEFT frameworks, Attention Mechanisms, BERT, LLaMA

Vector/RAG: FAISS, Milvus, HNSW, ANN algorithms, RAG systems

ML: Evaluation Metrics, Ensemble Methods, XGBoost, Clustering, Bias-Variance

Ops: MLflow, Docker, Git, Linux, AWS/Azure, CUDA, GPUs, Apache Spark

What We Offer

Competitive Compensation:

Health Benefits:

Learning Budget:

Top Equipment:

Flexible Schedule:

Remote-Friendly:

Growth Path:

Autonomy:

World-Class Team:

Location & Work Arrangement

• Location:

  Remote within India (or Bangalore/Mumbai office if preferred)

• Time Zone:

  Flexible, with some overlap with US team for collaboration

• Travel:

  Occasional travel for team offsites (1-2 times per year)

How to Apply

1. Complete the short survey -> https://www.surveymonkey.com/r/RMRVLB2
2. Submit your application with:

• Resume/CV highlighting relevant ML/DL projects
• GitHub profile or portfolio (if available)
• Brief cover letter explaining why you're excited about AI for health (optional but recommended)