Assistant Director/Senior Manager, AI ML Operations

Singtel is where Technology meets Purpose.

We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.

From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.

At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.

This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.

Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.

Role Summary:

Lead the AI Operations function responsible for the operational lifecycle of every AI/ML model serving the telco's production agents. Own model deployment through the platform CI/CD toolchain, deployment discipline and rollback, the model portfolio and hybrid routing strategy, drift and performance monitoring, and model cost, quota, and capacity. Own the version/lineage registry and serve as a four-eyes deployment approver. Lead a small team of MLOps engineers across HQ and offshore.

How You will Make An Impact:

• Own AI/ML model deployment operations via CI/CD toolchain and enforce deployment-discipline rules and serve as approver for deployments and rollbacks.
• Ensure day-to-day stability, reliability, and performance of ML models and pipelines. Own model performance and drift monitoring, including silent-provider-update detection and the response playbook.
• Manage model lifecycle controls, including versioning, lineage, reproducibility, monitoring, and governance.
• Develop incident handling, recovery, and escalation procedures for ML-related issues.
• Chair post-incident reviews and drive corrective actions and systemic findings into the troubleshooting manual and backlog.
• Lead, roster, and develop the team across HQ and offshore; own on-call discipline, fatigue management, and shift handover quality.

Skills for Success:

• Degree in Computer Science, Data Science, Engineering, or related field
• 10+ years in ML/MLOps/platform engineering with team leadership
• Experience deploying and operating ML models in production
• Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.
• Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.
• Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.
• Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.
• Calm, decisive incident leadership
• Strong stakeholder and crisis communication
• People leadership across locations
• Analytical and pragmatic, with the ability to interpret governance principles into implementation plans

Are you ready to say hello to BIG Possibilities

Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.