Director, AI Engineering and Delivery
Tasks
- Build AI pipelines
- Define engineering standards for code quality documentation and tools
- Design AI/ML system architecture
- Ensure AI security, privacy, and compliance
- Ensure model development versioning testing validation and deployment best practices
- Establish MLOps CI CD pipelines
- Implement model registry and monitoring
- Lead AI/ML engineering teams
- Manage AI engineering project timelines risks and dependencies
- Manage scalable secure and maintainable AI infrastructure
- Promote responsible AI fairness transparency and auditability
Perks/Benefits
- Dental insurance
- Employee assistance program
- Employee resource groups
- Flexible time off
- Flexible work arrangements
- Medical insurance
- Paid parental leave
- Profit sharing retirement
- Recognition
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Amazon SageMaker | Amazon Web Services | Azure | Azure Machine Learning | CI/CD | Cloud platform | Compliance | Data Science | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Kubernetes | Machine Learning | Model Registry | Monitoring | Privacy | PyTorch | Python | Scikit-learn | Security | TensorFlow | Version control | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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