Lead the design of ML/DL architectures for multi-modal data in healthcare. Integrate Gen AI for intelligent workflows. Ensure compliance with GxP and SaMD standards.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Job Description
Job Title : - Principal Machine Learning / Deep Learning Architect
Location : - San Francisco, CA (Onsite 3 -5 days/Week) (Relocation and all type of work authorization will work)
Type of Employment : - Fulltime
Duration : - Long Term
Total yrs. of Exp. : - Minimum 15+ yrs.
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 environments
- Architect and Design Algorithms 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
Location: - San Francisco, CA (3-5 days onsite/week)
Educational Qualifications: -
- Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Recruiter's Details : -
Name : - Prashant Pal
Mob: +1-(908)633-2901
Email Id- PrashantP@vbeyond.com