Lead AI/ML Engineer (Healthcare)
Company: Jobs via Dice
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-03-14
About this role
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Talent Groups, is seeking the following. Apply via Dice today!
AI Project Execution & Delivery:
- Lead the end-to-end execution of high-priority AI/ML projects, ensuring they are delivered on time, within budget, and to the highest technical standards.
- Serve as the primary technical point of contact for project stakeholders, managing dependencies, mitigating risks, and communicating progress effectively.
AI Governance & AIRB Facilitation:
- Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams.
Team Leadership & Technical Mentorship:
- Provide direct line management, technical leadership, and mentorship to a team of senior AI/ML Engineers and Data Scientists.
- Conduct code reviews, design sessions, and technical deep dives to ensure the quality, scalability, and robustness of AI solutions.
Hands-on MLOps & Engineering Practice:
- Drive the practical implementation of the MLOps strategy, directly overseeing the construction and optimization of CI/CD pipelines for AI/ML systems using tools like GitHub Actions.
Required Qualifications:
- Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
- Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
- Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
- Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring....