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