Job Summary
Job Title : - Principal ML Architect (Machine Learning)
Location : - San Francisco, CA (Onsite 3 days / Week)
Type of Employment : - Fullltime
What’s in it for you : -
As a Machine Learning / Deep Learning Architect you will :
- Lead the design of ML / DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments.
- Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions.
- Develop proofs of concept and validate models for mission-critical healthcare applications.
Key Responsibilities
Design ML / DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environmentsArchitect and Design Algorithims applications portability for internal and external deployments in regulated environmentBuild scalable pipelines for training, inference, and model deploymentHandle model life cycleEnsure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standardsCollaborate with cross-functional teams to align architecture with regulatory and operational requirementsCreate proof of concept for important areasGen AI integration and LLM usage for intelligent workflows & conversational analyticsGxP and SaMD validate modelsRequired Skills & Experience
15 years of experienceExtensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc.Extensive experience with ML OpsExtensive experience working in validated environmentsExtensive experience with python-based ml / deep learning frameworksKnowledge of imaging standardsWorked in radiology & digital pathologyWorked in ophthalmology / neurology / oncology disease areasEducational Qualifications : -
Engineering Degree – BE / ME / BTech / MTech / BSc / MSc.Technical certification in multiple technologies is desirable.Recruiter Details : -
Name : - Prashant Pal
Email I'd : - PrashantP@vbeyond.com