AI Scientist

Jobtailor; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Jobtailor in Bengaluru seeks a senior AI scientist to design and deploy autonomous agent-based systems in healthcare, advancing NLU for clinical and operational text.

You will fine-tune LLMs, build AI pipelines processing structured and unstructured data (FHIR, HL7, notes, claims), and mentor juniors while ensuring HIPAA/HITRUST compliance and scalable AI architectures.

Qualifications

• PhD or Master’s in Computer Science, AI, ML or related field.
• 5+ years of experience in AI/ML with deployed models.
• Proficiency in Python, R and modern ML libraries.
• Experience with GenAI, LLMs and transformer architectures.
• Hands-on experience with autonomous AI agents and reasoning systems.
• Strong track record applying AI to healthcare or life sciences use cases.

Responsibilities

• Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
• Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
• Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
• Adapt and fine-tune large language models to healthcare language, regulatory requirements, and ethics.
• Create AI pipelines that process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
• Contribute to model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.

Skills

AI/ML experience

GenAI & LLM deployment

Python & R

Transformer architectures

Cloud & MLOps

Autonomous AI agents

Education

PhD or Master’s in CS/AI/ML

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

RAG systems

AWS

Job description

Responsibilities

• Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
• Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
• Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
• Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
• Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
• Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.
• Serve as the primary technical authority on Agentic and Generative AI within project teams.
• Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
• Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.
• Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
• Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).

Qualifications

• PhD or Master's in Computer Science, AI, Machine Learning, or related field.
• 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
• Proficiency in Python, R, and modern ML libraries.
• Experience with GenAI, LLMs, and transformer architectures.
• Skilled with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
• Hands-on experience with autonomous AI agents and reasoning systems.
• Strong track record applying AI to healthcare or life sciences use cases.
• Familiarity with cloud platforms (AWS) and MLOps practices.