Lead AI / ML Operations #AIDA

Singtel; Singapore; On-site; Confidential; Full time

Job summary

Singtel is leading the AI and data analytics transformation through the AIDA program, building a scalable ML Ops platform and an MLOps culture across HQ and offshore. You will own deployment operations, drift monitoring, and governance for AI models in production, while leading a global team and coordinating across platforms and teams.

Join a strategic journey to embed intelligence into every layer of the enterprise, advancing AI capabilities, tooling, and incident response processes to deliver

Qualifications

• 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

Responsibilities

• 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

ML/MLOps leadership

Production ML deployment

Model lifecycle management

SQL

Databricks

MLFlow

PowerBI/Tableau

Cloud ML platforms

Data analysis

Incident leadership

Team leadership across locations

Education

Degree in Computer Science / Data Science / Engineering

Tools

Databricks

MLflow

Azure ML

Job description

Powering the Future with AIDA

To lead the next phase of our AI evolution, we’ve launched a new business unit

Powering the Future with AIDA

AIDA – Artificial Intelligence & Data Analytics

– a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.

At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core— augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence empowers people.

We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.

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.