AI Engineer

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Our Purpose

• Place client value and human experience at the centre of everything we do.
• Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors.
• Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency.

Your Role

• Harness your expertise in AI engineering, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens.
• Make an outstanding contribution to a world-class AI and data team.
• Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Invest continuously in building and extending your knowledge and skills.

Your Profile

You should demonstrate strong proficiency in either AI Engineering or ML Engineering / MLOps. Proficiency in both is a significant advantage.

AI Engineering (LLM & Agentic Systems)

• Practical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR.
• Experience with prompt engineering, fine-tuning, and responsible AI evaluation.

ML Engineering / MLOps

• Practical hands-on experience with ML development and deployment tooling: Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, MLFlow, Docker, Kubernetes, Terraform, Ansible, Datadog.
• Broad knowledge of NLP, computer vision, recommendation systems, reinforcement learning and time series forecasting.
• Exposure to model experiment tracking and training workflows: hyperparameter tuning, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs.
• Exposure to the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, and retraining triggers — using tools such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines.

Platform & Delivery

• Ability to rapidly acquire new AI and data skills.
• Strong ability to communicate with, develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Track record on data science competitions such as Kaggle is highly desirable.
• Familiarity with agentic coding tools such as Claude Code, Cursor and Google Antigravity will be an advantage.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/