Roles & Responsibilities
Senior AI Engineer - Contract (1 year)
Roles and Responsibilities
- Design and deliver enterprise-grade AI / ML solutions across multi-cloud environments, ensuring scalability, security, performance and seamless integration with existing technology ecosystems.
- Define and enforce comprehensive AI governance frameworks addressing compliance (e.g., GDPR, EU AI Act), model risk, ethics, transparency and explainability.
- Serve as a trusted advisor to business and technology leaders on AI strategy, emerging trends and the long-term impact of AI on enterprise processes, platforms, and decision-making.
- Lead end-to-end development and operationalization of AI solutions, including data exploration, model development, training, validation, deployment and lifecycle management.
- Own and manage production operations of AI systems—covering monitoring, incident management, CI / CD pipelines and release / change controls.
- Assess and evaluate change requests, effort and impact across business functions, technology platforms and governance controls to ensure strategic alignment and risk mitigation.
- Drive continuous improvement in model performance, system reliability, and AI delivery processes through rigorous testing, automation and adherence to engineering best practices.
- Partner with cross-functional teams (data engineering, application development, infrastructure, business units) to translate complex business challenges into actionable AIdriven solutions.
- Champion a culture of technical excellence and knowledge sharing by mentoring peers, reviewing code and architecture and contributing to internal AI communities of practice.
- Other duties as required.
EA License No : 96C4864
CEI Reg No : R1104487 (Tan Hui Yung Janet)
Tell employers what skills you have
Mentoring
Scalability
Pipelines
Application Development
Transparency
Reliability
Strategy
Data Engineering
Compliance
Incident Management