Senior Machine Learning Engineer #AIDA

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 sayHello BIG Possibilities.

Powering the Future with AIDA

To lead the next phase of our AI evolution weve launched a new business unitAIDA Artificial Intelligence & Data Analytics a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks apivotal shiftin how we operate innovate and serve to embed intelligence into every layer of our business.

AtSingtel this is more than a technology upgrade. Its astrategic transformationthat redefines how value is created across the enterprise coreaugmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligningpeople platforms and processesunder one cohesive strategy. Our mission is to buildAI literacy and foster a culture whereintelligence empowers people.

We welcome you to join us on a transformational journey thats reshaping the telecommunications industry and redefining whats 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.

Be a Part of Something BIG!

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.
• Strong MLOps and production operations focus

Make an Impact by:

• Responsible for designing implementing and managing MLOps workflows tools and operational processes for ML and GenAI solutions.
• Oversee the day-to-day stability reliability and operational health of ML models and ML pipelines.
• Manage model lifecycle operations including model registration versioning deployment tracking lineage reproducibility and governance.
• Implement monitoring for data drift concept drift model performance degradation inference quality and service-level issues.
• Set up dashboards and alerts to track model health data quality inference behaviour and operational metrics.
• Develop and execute incident handling recovery rollback and escalation plans for ML-related issues.
• Plan and implement data quality dataset versioning and lineage tracking solutions across the ML lifecycle.
• Support data governance discussions documentation controls and policies relating to ML models datasets and production usage.

Skills for Success:

• Bachelors or Masters 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!