Lead Director, AI/ML & Data Engineering
Work At Home-Connecticut, United States
USD 144K-288K Senior-level Full Time
Tasks
- Build and scale enterprise data ingestion and transformation
- Build career paths and foster continuous learning culture
- Define data engineering standards and reference architectures
- Deliver reusable datasets and data products with metadata and lineage
- Drive audit ready change management for AI systems
- Ensure platform reliability and performance for model serving
- Establish enterprise MLOps LLMOps and GenAIOps platforms
- Implement model versioning canary deployments and rollback strategies
- Implement privacy and compliance controls for data access
- Lead DevSecOps practices for AI and ML lifecycle
- Manage model CI CD deployment automation and observability
- Recruit retain and develop engineering managers and contributors
- Translate AI needs into reusable AI platform components
Perks/Benefits
Skills/Tech-stack
Access Control | Access Management | Artificial Intelligence | CI/CD | Canary deployments | Capacity Planning | Cloud Security | Data Engineering | Data Ingestion | Data Lineage | Data Quality | Data Transformation | DevSecOps | GenAIOps | Hybrid Cloud | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | LLMOps | MLOps | Machine Learning | Metadata | Model Monitoring | Model versioning | Observability | PHI/PII | Retrieval-Augmented Generation | Rollback | SLI/SLO | Vector Search | “as-code”
Education
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