Principal Data Scientist

Hiring: Principal Data Scientist – Healthcare AI | 7-10 years experience | (Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)

Note:

• Please go through all the details below to understand the role criteria.
• Ensure your current CTC aligns with the budget mentioned below for a smooth hiring process.

Qualification:

• Master’s / PhD in Computer Science, AI, ML or related field
• Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage

Work Mode: Onsite | 5 days working

Salary: 25-29 LPA

Age Criteria: Should not be more than 34 years

Required Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps

Mandatory Criteria:

• 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.

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

Job Types: Full-time, Permanent

Pay: ₹2,500,000.00 - ₹2,900,000.00 per month

Work Location: In person