Total experience 10+ years.
Strong NLP fundamentals with deep expertise in transformer-based models using HuggingFace and OpenAI APIs.
Hands-on experience in agentic AI frameworks like LangChain, LangGraph, or CrewAI.
Proficiency in Python, Pandas, and working with clinical/EHR datasets.
Solid understanding of MLOps practices including Docker, Kubernetes, and CI/CD for model deployment.
Awareness of HIPAA and healthcare data compliance standards.
Ability to define and iterate on clinical NLP metrics with cross-functional teams.
Strong collaboration and communication skills to work alongside clinical, data science, and engineering teams.

RESPONSIBILITIES:

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.