Chief Technology Officer (CTO) – AI & Data Platforms
Tasks
- Define and execute technology strategy for AI and data platforms
- Define data architecture and governance frameworks
- Develop end to end AI and ML platforms
- Drive engineering culture quality speed and innovation
- Ensure compliance with data privacy and AI governance standards
- Ensure data pipelines model deployment and system integration
- Establish data engineering governance and model lifecycle management
- Establish governance for platform and AI investments
- Implement MLOps and LLMOps best practices
- Implement cybersecurity and model risk management
- Industrialize AI models into scalable products
- Lead multidisciplinary engineering teams
- Manage technology budgets vendors and partnerships
- Oversee cloud infrastructure and ensure scalability and cost efficiency
- Own architecture and scalability for internal and client facing platforms
- Support client engagements with deep technology expertise
- Track KPIs for platform performance AI adoption and delivery excellence
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Artificial Intelligence | Azure | Cloud Architecture | Cloud platform | Cybersecurity | Data Architecture | Data Engineering | Data Governance | Data Pipelines | Data Science | Google Cloud | Google Cloud Platform | LLMOps | Lakehouse | MLOps | Machine Learning | Model Deployment | Model Risk Management | Model risk | Risk Management | Streaming
Education
N/A
Roles
Chief | Chief Technology Officer | Engineering | Head | Head of Engineering | Officer | Technology Officer
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