Senior Machine Learning Engineer #AIDA

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

Job summary

Singtel is seeking a capable MLOps engineer to lead the ML and GenAI lifecycle within our AI & Data Analytics unit. You will ensure stability, governance, and deployment of ML models and pipelines across Telco-scale data environments.

You will design and operate MLOps workflows, monitor data quality, and craft dashboards with Power BI/Tableau to inform business decisions. Strong communication and fast-paced adaptability are essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Experience with MLOps processes and tools.
• Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.
• Hands-on experience with ML platforms (e.g., Azure ML, Databricks, MLflow).

Responsibilities

• Design and manage MLOps workflows, tools, and operational processes for ML and GenAI solutions.
• Oversee day-to-day stability, reliability, and operational health of ML models and pipelines.
• Manage model lifecycle operations including registration, versioning, deployment tracking, lineage, reproducibility, governance.
• Implement monitoring for data drift, concept drift, model performance degradation, and inference quality.
• Set up dashboards and alerts to track model health, data quality, inference behavior, and metrics.

Skills

MLOps pipelines

ML model deployment

SQL analytics

Databricks

MLFlow

Power BI

Tableau

Git & CI/CD

Data governance

Telco domain

Strong communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Git

CI/CD tooling

Power BI

Tableau

Databricks

MLflow

Job description

About the Role

An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…"Hello BIG Possibilities".

Powering the Future with AIDA

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

Position Summary

• Responsible for managing MLOps workflows, tools, and production support processes for ML solutions.
• Ensure day‑to‑day stability, reliability, and performance of ML models and pipelines.
• Manage model lifecycle controls, including versioning, lineage, reproducibility, monitoring, and governance.
• Develop incident handling, recovery, and escalation procedures for ML-related issues.
• Support data quality, lineage tracking, and governance practices across the ML lifecycle.

Make An Impact By

• Designing, implementing, and managing MLOps workflows, tools, and operational processes for ML and GenAI solutions.
• Overseeing the day‑to‑day stability, reliability, and operational health of ML models and ML pipelines.
• Managing model lifecycle operations, including model registration, versioning, deployment tracking, lineage, reproducibility, and governance.
• Implementing monitoring for data drift, concept drift, model performance degradation, inference quality, and service‑level issues.
• Setting up dashboards and alerts to track model health, data quality, inference behaviour, and operational metrics.
• Developing and executing incident handling, recovery, rollback, and escalation plans for ML-related issues.

Skills For Success

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Experience with MLOps processes and tools.
• 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.
• Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.
• Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.
• Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.
• Analytical and pragmatic, with the ability to interpret governance principles into implementation plans.
• Clear communicator who can explain complex technical risks and solutions to non‑technical stakeholders.
• Self‑driven and proactive, comfortable working in a fast‑paced environment.
• Familiarity with ML and data development process in telco environment.

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!