Lead 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.

Your Objectives

• Solve the hardest problems with AI to deliver social and economic value.
• Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Build, lead and mentor a world-class team of AI and data engineers.
• Maintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels.
• Create and deliver technical blogs & thought leadership on AI.
• Invest continuously in building and extending your knowledge and skills.

Your Background

You bring strong capabilities 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, evaluation frameworks, and responsible AI tooling.

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 experience of NLP, computer vision, classification & recommendation systems, reinforcement learning and time series.

Experience designing and managing model experiment tracking and training workflows: hyperparameter tuning, cross-validation, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs.

Solid understanding and hands-on experience with the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining triggers — using platforms such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines.

Platform & Delivery

• At least 5 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing.
• Broad experience of model deployment, canary releases and implementation on cloud.
• Experience of automated data pipelines, data labelling, versioning and exploration.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners.
• Ability to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication.
• Demonstrated ability to guide, develop and mentor AI and data engineers.
• Demonstrated ability to create technical blogs & thought leadership on AI.
• Active engagement in the AI community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects.
• 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/