Career
AI Engineer
Science
|
Permanent
Science
Permanent
About Us
Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.
SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN.
As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provides AI and data science services and products to the group.
With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.
We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.
Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.
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Benefits
Other
Preferred Qualifications
Qualifications
Experienced in software engineering, code architecture design, test-driven development.
Extensive knowledge in statistics, ML/AI algorithms in mathematically and conceptual levels.
Intermediate knowledge in Apache Spark and distributed computation.
Able to use development tools including Python, Version Control, and SDLC fluently.
Solid understanding of ML system tech stack & MLOps mechanics.
Able to define research questions, setup milestones, work as a team and independently.
Responsibilities
Develop production grade Analytics & ML/AI products, projects, and pipelines.
Maintain ML/AI related products and projects codebase.
Research for technologies and practices to enable and enhance DataX ML/AI capabilities.
Partially manage projects and accountable for deliverables.
Collaborate across multiple disciplinary teams such as Engineer, Scientist, PO/PM, and Operation.
About Team & Role
AI Engineering resides in AI Innovation Lab as part of Science Department. Our work is to narrowing gaps between ML/AI technologies and Data Products throughout its lifecycle from research to production state.