Job Details
- Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
- Work Mode: Work from Office
- Shift: Day Shift
- Reporting To: SVP
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
- Must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
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
Job Type: Full-time
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Work Location: In person