Chief Technology Officer (CTO) – AI & Data Platforms
Tasks
- Build data pipelines model deployment and system integration
- Define data architecture and governance frameworks
- Define technology strategy for AI and data platforms
- Develop end to end AI ML platforms
- Ensure data privacy compliance and AI governance
- Ensure platform reliability reproducibility and scalability
- Establish MLOps and LLMOps best practices
- Establish governance for platform and AI investments
- Implement cybersecurity and model risk management
- Implement data engineering governance and model lifecycle management
- Industrialize AI models into scalable products
- Lead multidisciplinary engineering teams
- Manage technology budgets vendors and partnerships
- Oversee cloud infrastructure
- Own internal and client facing platform architecture
- Track KPIs for platform performance and AI adoption
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Artificial Intelligence | Azure | Cloud Computing | Cloud platform | Cybersecurity | Cybersecurity Risk Management | Cybersecurity risk | Data Engineering | Data Governance | Data Privacy | Data analytics | Google Cloud | Google Cloud Platform | LLMOps | Lakehouse | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Risk Management | Streaming Data
Education
N/A
Roles
Chief | Chief Technology Officer | Engineering | Head | Head of Engineering | Officer | Technology Officer
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