About the Company
We are a healthcare technology company transforming how clinical and administrative documents are exchanged. Our platform integrates secure cloud fax, intelligent document processing, and EHR interoperability to streamline workflows and improve patient outcomes. We are committed to leveraging both traditional ML and cutting-edge GenAI to automate and optimize document-driven processes across the healthcare ecosystem.
Position Summary
As a Staff Data Scientist, you will serve as a technical leader and domain expert, driving high-impact AI/ML initiatives that extend beyond individual projects. You will define standards for model development, deployment, and monitoring, and shape the long-term AI strategy of our intelligent document exchange platform. You will influence cross-team decisions, mentor and coach other data scientists, and ensure our AI systems are scalable, compliant, and future-ready. Staff Data Scientists operate at the intersection of research, engineering, and product, ensuring alignment between business outcomes and technical excellence.




Key Responsibilities
Model Development & Deployment
- Architect frameworks for large-scale ML/DL and GenAI deployment (e.g., retraining pipelines, evaluation frameworks, auto-deployment of checkpoints).
- Lead research and integration of cutting-edge techniques (e.g., LayoutLM, RAG pipelines, multi-modal models).
- Balance innovation with business trade-offs (accuracy, cost, turnaround time), setting standards for solution adoption.
- Anticipate long-term risks (e.g., data drift, scaling bottlenecks) and design preventive solutions.

Data Engineering & Analysis
- Oversee the creation of enterprise-grade data pipelines that integrate multiple sources (fax, EHR, third-party data).
- Define data governance, annotation strategy, and quality standards for AI-driven workflows.
- Leverage deep statistical/ML expertise to diagnose systemic failures and propose sustainable improvements.

Collaboration & Leade

📌 Staff Data Scientist (Chennai)
🏢 Recruitment Fraud Alert
📍 Chennai