Description :

Role : Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)

Loc : Hebbal Ring Road, Bengaluru

Work Mode : 5days (Work from Office)

Shift : Day Shift

Reporting To : SVP

About the Client :

Client is a leading healthcare support services company specializing in Remote Live Medical Scribing, AI-Based Medical Scribing, Medical Coding, Medical Billing Virtual Medical Office Solutions (VMOS). With a strong presence across India through our offices in Bengaluru, Coimbatore, and Mohali, we serve a wide range of healthcare providers in the United States.

Role Overview :

The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.

This position is part of a healthcare division of Focus Group specializing in medical coding and scribing. We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to :

1. Reduce administrative burden in EMR data entry

2. Improve provider satisfaction and productivity

3. Enhance quality of care and patient outcomes

Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.

Responsibilities :

- Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI

- Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation

- Develop and integrate Agentic AI frameworks enabling multi-agent collaboration

- Design scalable, reusable, and production-ready AI frameworks for speech and text analytics

- Fine-tune, train, and optimize large-scale NLP and ASR models

- Develop and optimize ML algorithms for speech, text, and structured healthcare data

- Conduct rigorous testing and validation to ensure high clinical accuracy and performance

- Continuously evaluate and enhance model efficiency and reliability

- Architect and deploy AI models on AWS, Azure, or GCP

- Deploy and manage models using containerization, Kubernetes, and serverless architectures

- Design and implement robust MLOps strategies for lifecycle management

- Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR

- Integrate AI systems with EHR/EMR platforms

- Implement ethical AI practices, regulatory compliance, and bias mitigation techniques

- Work closely with business analysts, healthcare professionals, software engineers, and ML engineers

- Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures

- Mentor and lead junior data scientists and engineers

- Contribute to AI research, publications, patents, and long-term AI strategy

What we expect :

- Must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).

- Must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.

- Must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.

- Must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.

- Must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.