Senior Director, Data and AI Engineer
Tasks
- Architect AI application engineering foundations
- Build data processing and representations
- Collaborate with legal and compliance teams
- Communicate strategy progress and outcomes
- Define data and AI engineering strategy roadmap
- Design and deploy scalable data engineering pipelines
- Develop and deploy AI and machine learning models
- Ensure compliance with data privacy regulations
- Establish monitoring alerting and incident response for AI
- Evaluate and adopt data and AI technologies
- Implement AI observability and governance
- Implement Gen AI use cases from ideation to production
- Manage resources budget and project timelines
- Oversee vendors and vendor resources
- Provide data and AI technical leadership and mentorship
- Scale MLOps for model lifecycle management
- Translate scientific challenges into executable AI projects
Perks/Benefits
- N/A
Skills/Tech-stack
AI Observability | AI model | AI model development | Automation | Clinical data | Data Engineering | Data Governance | Data Pipelines | Data Privacy | Data strategy | Digital Health | Digital health data | Enterprise Data | Enterprise data strategy | Generative AI | Health Data | Healthcare Data | Incident Response | Language Models | Large Language Models | MLOps | Machine Learning | Model Development | Model retraining | Monitoring and Alerting | Omics Data | Pharmacovigilance | Real-World Data | Reproducibility
Education
Roles
Artificial Intelligence Engineering | Data Engineering | Director Artificial Intelligence Engineering | Director Data Engineering | Engineering | Senior Director | Senior Director Artificial Intelligence | Senior Director Artificial Intelligence Engineering | Senior Director, Data | Senior Director, Data Engineering
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