Principal Data Scientist

About the Company

The company 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 offices in Bengaluru, Coimbatore, and Mohali, they serve a wide range of healthcare providers in the United States. Their mission is to streamline clinical workflows, enhance documentation accuracy, and improve revenue cycle efficiency for healthcare organizations. At the forefront of innovation and service excellence, it empowers medical professionals to focus on patient care while we take care of the rest. They have been ranked #1 by KLAS for Scribing Services in 2024 and 2025, and proudly recognized again as the top provider in 2026.

Job Details

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

Job Role - Principal Data Scientist (Healthcare AI ASR LLM NLP Cloud Agentic AI) Industry - Healthcare Function - IT-Services Exp: 7-10 yrs Location: Bengaluru Mode: ONSITE Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Salary: INR 25-30 LPA Age Limit: 34 yrs

Preferred Skills: Gen AI,NLP & ASR,Transformer Models,Cloud Deployment,MLOps Preferred industries: Healthcare Providers, Medical Devices,

Experience Required

-7+ years of experience solving real-world problems using: -Natural Language Processing (NLP) -Automatic Speech Recognition (ASR) -Large Language Models (LLMs) -Machine Learning (ML) -Preferably within the healthcare domain -Experience in Agentic AI, cloud deployments, and fine-tuning -transformer-based models is highly desirable - Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Role Overview

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

Reduce administrative burden in EMR data entry Improve provider satisfaction and productivity Enhance quality of care and patient outcomes

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

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.

Key Responsibilities

AI Strategy & Solution Development 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

Model Development & Optimization

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

Cloud & MLOps Implementation

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

Integration & Compliance

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

Collaboration & Leadership

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

Required Skills & Competencies

- Expertise in Machine Learning, Deep Learning, and Generative AI - Strong Python programming skills - Hands-on experience with PyTorch and TensorFlow - Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.) - Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech) - Experience with text embeddings and vector databases - Proficiency in cloud platforms (AWS, Azure, GCP) - Experience with LangChain, OpenAI APIs, and RAG architectures - Knowledge of agentic AI frameworks and reinforcement learning - Familiarity with Docker, Kubernetes, and MLOps best practices - Understanding of FHIR, HL7, HIPAA, and healthcare system integrations - Strong communication, collaboration, and mentoring skills

Mandatory Requirements

-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.

Employee Benefits & Perks

- Medical Insurance: 4 Lakhs per annum (Coverage for self, spouse, and 2 children under 25 years of age; non-reimbursable) - Group Personal Accident Policy: Coverage equivalent to 5 years’ CTC in case of accidental death - Complimentary Canteen Facilities for office-based employees

PS:- Only those who meet the job criteria specified in the job description and satisfy the mandatory requirements for the job role, are required to apply.