Senior AI Engineer

About the Company

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

• Minimum 5 years of relevant working experience in fields related to artificial intelligence, machine learning, data science, software engineering
• Broad knowledge of data science and machine learning: NLP, computer vision, recommendation systems, reinforcement learning and time series forecasting
• Completed at least one hands-on AI development and deployment end-to-end
• Exposure to software engineering and CI/CD principles: containerization, Infrastructure/configuration as code, model, and data versioning
• Practical hands-on experience with a broad range of tools to assist in the AI development lifecycle: LLMs, Jupyter, PyTorch, Tensorflow, Hugging Face Transformers, AWS Bedrock, AWS Sagemaker, Google Vertex AI, Azure ML, MLFlow, Dataiku, MS Fair, Google PAIR, Docker, Kubernetes, Terraform, Ansible, Datadog etc.
• Exposure to one of more of cloud services: AWS, Azure or GCP
• 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