Ai jobs in Singapore

This organisation offers the opportunity to work on technology solutions that create meaningful, nationwide impact. As an in-house digital and software team, they operate with agility and a strong focus on quality delivery.

You will be part of the Digital Technology team, collaborating to design, build, and deploy digital products that support over 3,800 internal users and improve the lives of more than 1.7 million commercial, industrial, and residential customers.

The solutions developed enable sustainable, high-quality lifestyles—helping customers reduce energy consumption and costs while supporting national sustainability and liveability goals. This is a role where your work directly contributes to real-world outcomes.

• Design, develop, and deploy AI/ML and Generative AI solutions across areas such as consumer utility applications, EV charging, grid planning and monitoring, asset optimisation, billing operations, worksite safety, and customer experience.

• Provide ad-hoc decision support to business leaders through product analytics, experiment design, A/B testing, and impact analysis.

• Engage business stakeholders to gather requirements, apply domain expertise, drive project objectives, and deliver tangible business value.

• Lead technical initiatives to build AI capabilities, including time-series forecasting, anomaly detection, graph network analysis, multimodal generative AI, autonomous agents, AI security guardrails, LLM evaluation frameworks, and SLM fine-tuning.

• Collaborate closely with data engineers, business analysts, product owners, UX designers, AI engineers, and software engineers within an agile delivery framework.

• Establish and implement AI governance practices, including model documentation, validation, explainability, security controls, performance monitoring, and ethical considerations.

• Promote AI adoption and literacy by developing reusable tools, self-service analytics platforms, and conducting training sessions.

• Track and assess emerging AI tools, frameworks, and vendor solutions for potential internal adoption.

• Provide guidance to junior team members and oversee interns or contractors.

• 2–5 years of experience in a data science or related role (mid- to senior-level), with a clear progression path toward people management.

• Demonstrated experience delivering AI/ML solutions in cross-functional environments.

• Hands‑on exposure to Generative AI frameworks such as LangChain, LlamaIndex, or HuggingFace.

• Strong understanding of machine learning, deep learning, and generative AI models, including their trade‑offs and evaluation.

• Proven ability to apply statistical techniques and domain knowledge in feature engineering.

• Deep expertise in at least one of the following: CV, NLP, time‑series modelling, network analysis, predictive maintenance, document understanding, RAG, PEFT fine‑tuning, or Agentic AI.

• Strong stakeholder management skills with the ability to lead projects end‑to‑end.

• Excellent data visualisation and storytelling skills to translate technical outcomes into business insights.

• Experience deploying Gen AI models into production using Docker, APIs, and cloud platforms (AWS, Azure, or GCP).

• Familiarity with AI governance frameworks such as Singapore’s Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.

• Experience in the energy or utilities domain is advantageous.

• Exposure to impactful, large‑scale digital transformation projects.

• Opportunity to work with a modern technology stack in an in‑house environment.

• Access to wellness and employee support programmes.

• A chance to contribute to shaping the future of energy and sustainability.