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Principal Data Scientist

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

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