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Data Platform Engineer

AI Infrastructure Architecture Analyst | Early Career | Full time
Job No. 13784763 | Singapore
Inscreve-te agora
About the Role
As a Data Platform Engineer, you will design and deliver scalable infrastructure that supports the training and deployment of generative AI models. This role plays a key part in enabling data-driven innovation by ensuring high-performance, reliable, and cost-efficient platforms. You will collaborate with cross-functional teams to build solutions that drive business impact and accelerate AI adoption.
Key Responsibilities
• Design, build, and implement infrastructure to support large-scale training and inference of generative AI models
• Optimize platform performance, scalability, and cost efficiency across data and AI workloads
• Evaluate infrastructure technologies and vendors, providing recommendations aligned with business needs
• Develop and maintain observability, monitoring, and operational controls for data platforms
• Collaborate with engineering, analytics, and product teams to deliver robust and scalable AI solutions
• Support continuous improvement of platform architecture and engineering practices
• Contribute to technical discussions and problem-solving initiatives across teams
• Build expertise in data platforms and AI infrastructure through hands-on experience and learning

Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• Minimum 1 year of relevant experience in data engineering, platform engineering, or similar roles
• Intermediate proficiency in Python, with hands-on experience using the Pandas library
• Intermediate proficiency in Tableau or similar data visualization tools
• Understanding of data processing, data pipelines, and large-scale data systems
• Strong analytical and problem-solving skills with attention to detail
• Ability to work independently and collaboratively in a team environment
Preferred Qualifications (Optional)
• Basic knowledge of data architecture and database design principles
• Familiarity with platform engineering concepts and cloud infrastructure
• Exposure to technology architecture planning or roadmap development
• Interest in generative AI technologies and their infrastructure requirements

Singapore

Igualdade de oportunidade de emprego

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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

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