Principal Data Scientist - LangChain/Agentic AI

Description :

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