Temus
Digital Transformation
LeadAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead AI Engineer at Temus. Skills: AI Engineering, ML Engineering, MLOps, LLM. Solve problems with AI. Deliver social value”
What You'll Achieve.
deliver social and economic value
Industry & Context.
Solve the hardest problems with AI
What They're Looking For.
Must Have
AI Engineering, ML Engineering, MLOps, serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control, automated testing, model deployment, canary releases, automated data pipelines, data labelling, data versioning, data exploration
Nice to Have
Proficiency in both AI Engineering and ML Engineering / MLOps, agentic coding tools
What You'll Do.
Solve problems with AI
Deliver economic value
Develop client relationships
Maintain client relationships
Build data engineering team
Lead data engineering team
Mentor data engineering team
Maintain culture of excellence
Create technical blogs
Deliver thought leadership
How You'll Work.
Team & Collaboration
Develop relationships with colleagues; Maintain relationships with colleagues; Develop relationships with partners; Maintain relationships with partners
Communication Scope
effective communication
Full Job Description
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.
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