Full-time
About:
In this role, you will have the opportunity to work on end-to-end AI model training and deployment in the healthcare space. Typical work will involve curating the dataset and model fine-tuning, research multi-modal models, and deploy models to production. You should be comfortable with ambiguity and working across multiple layers of the tech stack to execute on 0-to-1 projects.
Minimum Qualifications:
Bachelor's degree in Computer Science / ML / AI or equivalent practical experience
10+ years of Programming and data structures / algorithm experience in python and hands-on experience with frameworks such as PyTorch.
Knowledge about ML/DL fundamentals and practical experience working with classical ML models - regression / classification etc.
Experience with GenAI techniques - RAG, Embedding models, HF transformers, llamaindex / langchain
Familiarity with GenAI model landscape, Agentic Architecture and willingness to learn and apply new cutting-edge techniques
Preferred/Bonus:
Experience in applying AI to the healthcare domain.
Experience across the AI stack from prototyping in a notebook environment and deploying GenAI / RAG applications to production.
Multi-modal models
Designing APIs using frameworks like Flask
Job-type
Full-time
Experience
Senior