Architect and own the end-to-end data pipeline for medical imaging AI data, from intake and storage through curation, feature engineering, and model training
Job Summary
Architect and own the end-to-end data pipeline for medical imaging AI data, from intake and storage through curation, feature engineering, and model training.
Collaborate closely with MLOps engineers and product software teams to hand off models from R&D into production, meeting quality and safety standards for clinical use.
Work on a cross-functional team in a fast-paced healthcare innovation environment, mentoring others and liaising with regulatory and quality teams.
Matching Summary
Architect and own the end-to-end data pipeline for medical imaging AI data, from intake and storage through curation, feature engineering, and model training.
Skills & Requirements
Must-have
medical imaging AI data pipelines
Gen AI solutions data pipelines
annotation tools integration
data cataloging and metadata management
model version control and traceability
MLOps collaboration for production handoff
security-first mindset
Nice-to-have
agentic orchestration solutions
passion for healthcare innovation
strong data privacy mindset
knowledge of SAFe agile methodologies
Key Requirements
8+ years of experience architecting data and ML pipelines
5+ years with Master's degree
3+ years with PhD
Demonstrated success bringing AI medical devices to market
Knowledge of international medical device regulations