Manager Artificial Intelligence – AI/ML
Tasks
- Collaborate with business product engineering and data teams
- Create AI ML roadmaps and execution plans
- Deliver production AI and machine learning solutions
- Govern AI models with monitoring evaluation guardrails
- Improve AI program efficiency quality and customer satisfaction
- Lead cross-functional AI/ML teams
- Manage results communication and reporting
- Mentor and support employee career growth
- Own AI ML lifecycle from problem framing to production
- Prioritize product delivery with measurable metrics
- Recruit, develop, and retain team members
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | Artificial Intelligence | Back-end | Back-end development | CI/CD | Data Analysis | Data Catalogs | Data Governance | Data Pipelines | Data Visualization | Data integration | Distributed Systems | Evaluation | Executive Communication | Go | Guardrails | Java | ML Lifecycle | MLOps | Machine Learning | Microservices | Model Deployment | Monitoring | Python | Release Management | Responsible AI | Risk Management | Semantic models | Stakeholder management | Systems Thinking
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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