The role focuses on infusing cutting-edge AI/ML/GenAI into healthcare to build scalable customized solutions for complex real-world problems
Job Summary
The role focuses on infusing cutting-edge AI/ML/GenAI into healthcare to build scalable customized solutions for complex real-world problems.
Candidates will be responsible for the complete lifecycle of ML model development, from problem definition and data exploration to deployment and quality assurance.
The position requires ensuring the security and compliance of healthcare data while adhering strictly to HIPAA regulations.
Matching Summary
The role focuses on infusing cutting-edge AI/ML/GenAI into healthcare to build scalable customized solutions for complex real-world problems.
Skills & Requirements
Must-have
Large Language Model development
Multimodal Language Model expertise
Python and PyTorch proficiency
Healthcare domain LLM fine-tuning
End-to-end ML lifecycle management
HIPAA compliance adherence
Nice-to-have
Experience with RAG architectures
Knowledge of RLHF techniques
Collaborative team environment preference
Startup mission-oriented mindset
Open-source platform familiarity
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
PhD in AI or Machine Learning preferred
Minimum 4 years of industry experience in applied AI/ML
Strong grasp of OOP, design patterns, and efficient algorithms
Proficiency with HuggingFace, DeepSpeed, and AWS Sagemaker