Associate Director, AI & Machine LearningSingtel • Singapore, Singapore

Associate Director, AI & Machine Learning

Singtel • Singapore, Singapore

6 days ago

Job description

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 .

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.

Be a Part of Something BIG!

We are looking for an Associate Director, AI & Machine Learning to take a hands-on leadership role at the heart of Singtel’s AI transformation. Reporting directly to the Director of AI & ML, this role blends deep technical ownership with people leadership and senior stakeholder engagement to deliver AI solutions that drive real, measurable business impact.

You will work across a diverse portfolio of greenfield and scaled (brownfield) AI initiatives, partnering closely with business leaders across the Group and leading a high-calibre team of data scientists to build AI capabilities that truly move the needle for the company.

Make an Impact by : 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 of 6–10 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

Partner closely with business stakeholders to shape AI roadmaps and prioritise high-value use cases.

Collaborate with leading AI ecosystem partners such as OpenAI, Databricks, Mistral, NVIDIA and others.

Represent Singtel at industry forums, conferences, and partner engagements , contributing to thought leadership and external visibility where appropriate.

Skills for Success :

Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field.

8–12+ years of experience in AI / machine learning / data science , with a strong track record of hands-on delivery.

Experience leading AI initiatives from ideation through production in complex, real-world environments.

Prior experience mentoring or managing technical teams is required.

Experience in large enterprises, telco, tech, financial services, or consulting environments is advantageous.

Deep technical and data science expertise, demonstrating proficiency in :

Machine Learning & Statistical Modelling : Including linear regression, GLMs, time series forecasting, supervised learning (e.g., gradient boosted trees, neural networks), segmentation, clustering, design of experiments, and causal inference.

LLMs & Generative AI : Fine-tuning and evaluation of large language models (e.g., GPT, LLaMA), prompt engineering, red-teaming, and performance monitoring

Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop / Hive, and Databricks) and data visualization (using tools like Power BI).

Familiar with software engineering best practices, including modular code design, reproducibility, and testing. Proficient with version control tools such as GitHub, GitLab, and Bitbucket

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.

Comfortable operating as a player–coach , switching between hands-on delivery and leadership as needed.

Self-driven, outcome-oriented, and able to operate effectively in ambiguous problem spaces.

Excellent data visualization and communication skills, with the ability to present insights and findings in a clear, concise, and compelling manner, both in written and verbal form.

Experience in mentoring junior team members through collaborative problem solving, pair programming, and constructive code reviews.

Provide technical mentorship across multiple project streams, ensuring junior and mid-level data scientists are growing in capability and delivering high-quality output.

Contribute to building a culture of knowledge sharing and continuous improvement within the data science team.

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!

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