Director – AI Engineering
Tasks
- Build validate deploy machine learning models in production
- Contribute to whitepapers audits and regulatory submissions
- Define AI governance frameworks aligned with regulations
- Drive product roadmap execution
- Ensure handoff between product delivery and customer success teams
- Establish delivery best practices KPIs governance
- Establish model validation monitoring explainability bias mitigation auditability policies
- Gather customer feedback for roadmap priorities
- Identify and mitigate delivery risks
- Implement MLOps for model versioning CI CD monitoring drift detection
- Lead AI risk governance committees and approval boards
- Lead AI risk management and incident response
- Lead customer onboarding adoption and long term success
- Manage AI performance compliance and ethical escalations
- Oversee AI solution implementation integration validation
- Own end-to-end AI product delivery
- Partner with legal regulatory and quality teams for compliance
- Partner with product management for releases
- Represent company in industry forums regulatory discussions and workshops
- Translate AI concepts for stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Azure | Bias Mitigation | CI/CD | Cloud platform | Data Architectures | Data platforms | Deep learning | Drift Detection | FDA guidance | Fairness | GDPR | Generative AI | Google Cloud | Google Cloud Platform | GxP | HIPAA | Incident Response | Lifecycle Management | MLOps | Machine Learning | Model Explainability | Model Validation | Model versioning | Monitoring | Regulatory Compliance | Scalable Data Architectures | Statistical modeling
Education
N/A
Roles
AI | AI Engineering | AI Engineering Director | Director | Engineering Director
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