Build, lead and mentor a world-class team of AI and data engineers
Solve the hardest problems with AI to deliver social and economic value
Create and deliver technical blogs & thought leadership on AI
Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats
Requirements
pytorch
tensorflow
aws sagemaker
docker
ci/cd
5 years
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
Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
Exceptional expertise in AI engineering, machine learning and data science
5 years of experience delivering and managing AI solutions through incubation, proofs-of-concept, to deployment and commercialisation
Experience of CI/CD, containerization, infrastructure-as-code, model and data versioning concepts
Broad experience of model deployment, canary releases and implementation on cloud
Experience of automated data pipelines, data labelling, versioning and exploration
Active engagement in the AI community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects
Maintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels
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.
Bachelor’s or master’s degree in science, technology, engineering or mathematics
Broad experience of NLP, computer vision, classification & recommendation systems, reinforcement learning and time series
Benefits
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Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
April 2021
Founded Date
The company was established through a collaboration between Temasek and UST, marking the start of its journey to redefine Singapore's digital landscape.
Two Acquisitions
Growth Through Mergers
The company expanded its capabilities by acquiring DreamCloud and Decision Science Agency, enhancing its service offerings.
Rooted in Singapore’s Smart Nation vision, each project bridges cutting-edge AI, cloud, low-code and human-centered design to create real-world impact.
Its projects span national health platforms, defence efficiency tools, digital banking systems, telco apps, smart campus apps, and water-resource platforms.
As an AWS Select Tier Services partner, it delivers enterprise-grade cloud, data, and AI platforms tailored to mission-critical industries.
From GenAI resident health companions to immersive super-apps, Temus blends innovation with empathy for both citizens and enterprises.
Culture + Values
Transparency, accountability, and responsiveness are core leadership values
Fast‑growing, legacy‑free environment where joiners can shape and define culture
Emphasis on shaping digital future with trust‑based, long‑term customer partnerships
Lean, zero‑based resourcing mindset with agile, roll‑up‑your‑sleeves attitude
Supportive environment with strong guidance, collaboration, and mentoring across teams
Environment + Sustainability
86% Renewable Energy
Energy Efficiency in Operations
Achieved 86% renewable energy in offices, showcasing progress toward sustainability goals.
50% Emissions Reduction
Science-Based Targets
Committed to reducing Scope 1 & 2 emissions by 50% by 2030, aligned with science-based methodologies.
37% Energy Reduction
Resource Efficiency
Reduced per-capita energy use by 37% and water use by 72% at ISO14001-accredited offices.
35,000 Trees Planted
Reforestation Efforts
Partnership with Grow-Trees to plant 35,000 trees in India and 4,480 trees in Romania.