Principal ML Architect (Machine Learning) with Imaging (Alameda)

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 :

• 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 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