Director, AI & Machine Learning

SINGAPORE TELECOMMUNICATIONS LIMITED

Hands-on AI Delivery

Lead and contribute directly to the design, development, and deployment of AI/ML solutions across Singtel Consumer, Enterprise, Network, IT, and Corporate domains.
Translate complex business problems into well-scoped AI use cases with clear success metrics and measurable impact.
Drive end-to-end AI/ML lifecycle ownership: problem framing, data strategy, feature engineering, model development, evaluation, deployment, and post-launch monitoring.
Apply a broad range of techniques including machine learning, data science, optimisation, and GenAI where it delivers real value.
Improve and modernise existing AI solutions, enhancing accuracy, scalability, robustness, and maintainability.
Make pragmatic technical and architectural decisions, balancing speed, quality, and long-term sustainability.
Lead selected GenAI and LLM-enabled use cases, including but not limited to RAG, agentic workflows, and AI-assisted decisioning.
Work closely with platform and governance teams to ensure GenAI solutions are secure, responsible, and production-ready.
Stay abreast of emerging AI trends and evaluate their applicability to Singtel’s business.

People Leadership

Lead, mentor, and develop a team experienced data scientists.
Act as a technical role model and coach, providing hands-on guidance and constructive challenge.
Foster a strong team culture focused on engineering quality, business impact, and continuous learning.
Support hiring, performance development, and talent growth within the team.

Stakeholder & Partner Engagement

Partnerclosely with business stakeholders to shape AI roadmaps and prioritisehigh-value use cases.
Collaboratewith leading AI ecosystem partners such as OpenAI, Databricks, Mistral, NVIDIAand others.
Represent Singtel at industry forums, conferences, and partner engagements, contributing to thought leadership and external visibility where appropriate.

Bachelor or Postgraduatedegree in computer science, mathematics, statistics, or a related field.
15+ years of experience in AI/ machine learning / data science, with a strong track record of hands-ondelivery.
Experience leading AIinitiatives from ideation through production in complex, real-worldenvironments.
Prior experience mentoring ormanaging technical teams is required.
Experience in largeenterprises, telco, tech, financial services, or consulting environments isadvantageous.
Deep technical and datascience expertise, demonstrating proficiency in:
Machine Learning &Statistical Modelling: Including linear regression, GLMs, time seriesforecasting, supervised learning (e.g., gradient boosted trees, neuralnetworks), segmentation, clustering, design of experiments, and causalinference.
LLMs & Generative AI:Fine-tuning and evaluation of large language models (e.g., GPT, LLaMA), promptengineering, red-teaming, and performance monitoring
Efficient data manipulation(with skills in SQL, Python, Spark, Hadoop/Hive, and Databricks) and datavisualization (using tools like Power BI).
Familiar with softwareengineering best practices, including modular code design, reproducibility, andtesting. Proficient with version control tools such as GitHub, GitLab, andBitbucket
Exposure to cloud platforms(e.g., Azure AWS, GCP) and ML lifecycle tools (e.g., MLflow, Airflow)
Ability to review code,designs, and models, and to contribute hands-on is required.