Job Summary
Job Title : - Principal ML Architect (Machine Learning)
Location : - San Francisco, CA (Onsite 3 days / Week)
Type of Employment : - Fullltime
Whats in it for you : -
As a Machine Learning / Deep Learning Architect you will :
Key Responsibilities
Design ML / DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments
Architect and Design Algorithims applications portability for internal and external deployments in regulated environment
Build scalable pipelines for training, inference, and model deployment
Handle model life cycle
Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards
Collaborate with cross-functional teams to align architecture with regulatory and operational requirements
Create proof of concept for important areas
Gen AI integration and LLM usage for intelligent workflows & conversational analytics
GxP and SaMD validate models
Required Skills & Experience
15 years of experience
Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc.
Extensive experience with ML Ops
Extensive experience working in validated environments
Extensive experience with python-based ml / deep learning frameworks
Knowledge of imaging standards
Worked in radiology & digital pathology
Worked in ophthalmology / neurology / oncology disease areas
Educational Qualifications : -
Recruiter Details : -
Name : - Prashant Pal
Email I'd : - PrashantP@vbeyond.com
Principal Learning Architect • Sunnyvale, CA, US