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 Role
- Harness your expertise in AI engineering and data engineering to design, develop, and deploy AI/ML solutions on Microsoft Azure for clients.
- Based in Vietnam, working closely with our regional and Singapore-based teams to deliver impactful AI solutions.
- 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 Background
- At least 5–9 years of relevant working experience in fields related to artificial intelligence, machine learning, data science, or software engineering.
- Completed at least one hands-on AI development and deployment end-to-end on production.
- Exposure to agentic AI concepts such as multi-agent systems, tool-use, RAG pipelines, or autonomous task execution is highly desirable.
- Implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing.
- Hands-on experience with Microsoft Azure cloud services, including Azure Machine Learning, Azure OpenAI Service, Azure Cognitive Services, Azure Data Factory, Azure Synapse Analytics, and Azure DevOps.
- Candidates should demonstrate strength in either AI Engineering or ML Engineering (see below). Strength in both is a plus.
- Pro-active, curious personality with a strong desire to learn and grow.
- Good English communication skills, ability to communicate with clients and stakeholders effectively.
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, Azure OpenAI Service, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn.
- 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, Azure Machine Learning, MLFlow, Docker, Kubernetes (AKS), 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 Azure ML Pipelines, MLFlow, Weights & Biases, or Kubeflow.
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/
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