Associate AI Developer/ AI Developer (Full stack) - SAP Labs East Asia Singapore

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

*SAP will be prioritizing candidates with full working rights in Singapore*

About SAP

A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives. At SAP, we build breakthroughs, together.

What you'll build

Purpose and objectives

As an Associate AI Developer / AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

Applicants with relevant experience may be considered for AI Developer role.

Your tasks include:

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Push the frontiers of what is possible in artificial intelligence to create new solutions.

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Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipelines.

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Comfortably handle multi-terabyte data sets in scale-up and scale-out environments

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Strive for automation and cloud operation readiness.

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Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance.

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Supports machine learning research/project teams with all aspects around data.

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Builds scalable and re-usable data processing pipelines.

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Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.