Job Title: Principal Data Scientist
Salary: 25-30 LPA
Experience: 6-10 yrs
Location: Bangalore
Education: Post Graduation
Industry: Healthcare
Skills Required: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps
Job Description
Principal Data Scientist
(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)
About
Our 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.
Our 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, The Company empowers medical professionals to focus on patient care while we take care of the rest.
Job Details
Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
Location: Hebbal Ring Road, Bengaluru
Work Mode: Work from Office
Shift: Day Shift
Reporting To: SVP
- Compensation: Best in the industry (for suitable candidates)
- Educational Qualifications: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage
- 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
Role Overview
This position is part of the Company, 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:
Reduce administrative burden in EMR data entry
Improve provider satisfaction and productivity
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.
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
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
Mandatory Criteria:
- Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
- Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
- Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
- Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
- Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.
