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AD, AI & Machine Learning
AD, AI & Machine LearningSingtel • Singapore, Singapore
AD, AI & Machine Learning

AD, AI & Machine Learning

Singtel • Singapore, Singapore
3 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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    AD AI Machine Learning • Singapore, Singapore

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