Director, AI & Machine Learning

singapore telecommunications limited; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Singtel is seeking an experienced AI leader to drive hands-on AI delivery across Consumer, Enterprise, Network, IT, and Corporate domains. You will translate complex business problems into AI use cases, own end-to-end AI/ML lifecycle, and guide GenAI initiatives with a strong emphasis on security and production readiness.

The role requires 15+ years in AI/ML/data science, hands-on delivery, and prior leadership of technical teams within large enterprises or telco environments.

Qualifications

• Bachelor's or postgraduate degree in computer science, mathematics, statistics or a related field.
• 15+ years of experience in AI/ML/data science with hands-on delivery.
• Experience leading AI initiatives from ideation through production in complex environments.
• Experience mentoring or managing technical teams.
• Experience in large enterprises, telco, tech, financial services, or consulting is advantageous.

Responsibilities

• Lead and contribute to design, development, and deployment of AI/ML solutions across Singtel domains.
• Translate business problems into AI use cases with clear success metrics.
• Own end-to-end AI/ML lifecycle: framing, data strategy, feature engineering, model development, evaluation, deployment, monitoring.
• Lead GenAI and LLM-enabled use cases including RAG and AI-assisted decisioning.
• Ensure GenAI solutions are secure, responsible, and production-ready.

Skills

AI delivery

Machine learning

GenAI

LLMs

Python

SQL

Spark

Hadoop/Hive

Power BI

GitHub

GitLab

Bitbucket

Cloud platforms

MLflow

Airflow

Education

Bachelor's or Postgraduate degree in computer science, mathematics, statistics

Tools

Databricks

Power BI

GitHub

GitLab

Bitbucket

Hadoop/Hive

Spark

MLflow

Airflow

Job description

Key Responsibilities:

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.

Skills for Success:

• 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.