Manager Machine Learning Operations and Artificial Intelligence Engineering
About the role
CRDB Bank Plc seeks a Manager Machine Learning Operations and Artificial Intelligence Engineering in the Data Management Office, reporting to the Head of Data Management. The role leads ML Engineers, ML Ops Engineers and AI Platform Engineers to deliver reliable AI services, and directs technical delivery, platform operations and production support. Responsibilities: - Translate the approved AI roadmap into engineering and operational plans with priorities, accountable owners, capacity needs and support commitments. - Direct ML Engineers, ML Ops Engineers and AI Platform Engineers; allocate work, review performance, coach staff and address skills gaps. - Define responsibility boundaries and handovers with ICT, Cybersecurity, Data Science and business owners. - Establish engineering practices for code review, testing, version control, integration, deployment and documentation. - Oversee platform and solution designs for scalability, security and maintainability. - Coordinate controlled deployment and material changes within governance, security and change-management conditions. - Agree service objectives with ICT and business owners, and oversee availability, latency, failures, capacity and recovery performance. - Lead engineering incident response, root-cause review and corrective actions. - Plan infrastructure, licensing and supplier-support needs, and monitor approved expenditure. - Report engineering quality, service reliability, release failures, recovery time and costs. How to apply: Search for the vacancy title, register or sign in, and submit your CV and relevant supporting documents before the deadline. Apply online through the CRDB Bank careers portal: https://careers.crdbbank.co.tz/jobs
Key requirements
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Engineering, Cloud Computing, Information Systems, or a related field.
- A Master's degree (e.g., Computer Science, Data Science, Technology Management or MBA) is an added advantage.
- Minimum of 7 years of experience in software engineering, platform engineering, cloud or infrastructure engineering, MLOps or production operations.
- Minimum of 2 years of experience leading technical teams or managing technical delivery.
- Cloud, DevOps, architecture or service-management certification is preferred.
- Experience taking AI or data solutions into supported production services with controlled release and recovery processes.
- Knowledge of software engineering, ML operations, platform architecture, security controls and service management.
- Strong resource planning, incident leadership, supplier coordination and stakeholder communication skills.
- MLOps
- AI Engineering
- Team Leadership
- DevOps