AI/ML Deployment and Enablement Lead
Tasks
- Build AI feasibility playbooks and best practices
- Champion model governance versioning data lineage explainability auditability
- Create self service AI platforms APIs and tooling
- Define SLAs KPIs and observability standards
- Define unified AI stack and architectural patterns
- Design scalable AI ecosystem architecture
- Develop on prem AI platform stack and operating model
- Enable and scale AI platform adoption
- Ensure regulatory, security, and privacy compliance
- Establish AI Center of Excellence
- Govern end to end AI lifecycle
- Implement CI CD model registry and automated rollback
- Lead enterprise MLOps practices
- Oversee high availability AI production deployments
- Set AI standards and execution mechanisms
Perks/Benefits
- 401k match
- Adoption Assistance
- Healthcare coverage
- Long-term disability
- Paid Holidays
- Paid leave
- Paid vacation
- Short-term disability
Skills/Tech-stack
AWS | Amazon Bedrock | Apache Airflow | Artificial Intelligence | Auditability | Automated rollback | Azure AI | CI/CD | Data Ingestion | Data Lineage | Elasticsearch | Explainability | Feature Store | Inference | MLOps | Machine Learning | Model Governance | Model Registry | Monitoring | Observability | Version control
Education
Regions
Countries
States
Cities
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