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Delivery Manager, AI
Temus, Singapore
Overview
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.
What you need
- Exceptional expertise in delivering AI engineering, machine learning and data science projects.
- Experience architecting and delivering cloud-native AI and data platforms on AWS, Azure, or GCP, including infrastructure, platform, and application layers.
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/
Your objectives
- Lead the architecture and delivery of enterprise AI platforms and solutions, ensuring alignment with client business objectives, technology standards, and governance requirements.
- Solve the hardest problems with AI to deliver social and economic value.
- Build and lead a world-class AI team.
- Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Inspire, mentor, and develop junior team members.
- 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.
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Source: the Temus Greenhouse job board. We last checked this job 4 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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