Related skills
tensorflow pytorch mlops fraud detection llms📋 Description
- Lead, manage, and scale the Risk AI/ML org, driving rapid execution.
- Define and execute the multi-year Risk AI/ML roadmap.
- Directly manage and mentor ML managers and senior leads.
- Guide a 25+ person org to design, build, and deploy risk models.
- Own end-to-end ML systems for Risk, from feature eng to prod monitoring.
- Hire and develop top-tier ML managers and engineers.
🎯 Requirements
- 10+ years ML experience; 5+ years ML/engineering mgmt; 2+ years managing managers.
- Deep Risk domain expertise; proven ML systems against fraud and abuse.
- Strategic Leadership: multi-quarter ML roadmap with VP/Director partners.
- Technical Credibility: strong ML background; DL; ML platforms like TensorFlow/PyTorch; MLOps.
- Execution Focus: navigate ambiguity; lead large org to deliver results.
- Strong Communication: articulate complex concepts to senior audiences.
🎁 Benefits
- Full-time offers include bonus eligibility and equity.
- Benefits include medical, dental, vision, and 401(k).
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!