全职 Data Platform Engineer 工作, 薪水, Accenture Southeast Asia 公司招聘中 - Ricebowl

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