WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
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.
About SAP Labs Singapore
SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.
SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Intelligence Hub for SAP, leveraging on core competencies in the current teams.
Your future team
Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.
SAP Labs Singapore provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.
Purpose and objectives
As an Associate AI Scientist / AI Scientist, you will work together with a team of dedicated experts including AI developers, 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 Scientist role.
Expectations and tasks

Your tasks include:

• Push the frontiers of what is possible in the area of artificial intelligence and machine learning so as to create new solutions
• Explore, understand, and implement most recent technologies and approaches for data science problems
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Strive for state-of-the art, highly accurate and scalable data science models
• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
• Communicate the relevance of implemented systems and achieved results in a visual and consistent way
• Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts
• Performing quality assurance tasks
• Solve complex regression issues
• Ability to work in global teams with different time zones
• Immerse yourself quickly into new topics, terminology, and development tasks

Educational and experience requirements

Required

• Undergraduate or Post-Graduate specialization in Artificial Intelligence or Ph.D. degree in Computer Science, Mathematics, Statistics, or equivalent fields
• 0 to 3 years of working experience as data scientist, preferrable with an enterprise software or cloud application companies
• Publication track record on deep learning, machine learning, large language, and foundational models
• Proficient knowledge and track record of applying modern deep learning concepts
• Track record of developing novel learning algorithms or systems
• Experience with machine and deep learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Keras, Scikit-learn, DeepLearning4j, GPT;
• Hands-on with programming languages such as Python, C++, Java, Scala
• Familiar with Agile/Scrum methodologies
• Strong desire to overcome obstacles and make your work benefit SAP’s customers
• Excellent written and communication skills in English language

Optional

• Operational knowledge of Linux distributions such as Redhat, Ubuntu, SUSE
• Data Science experience in Large Language Models, Generative Pre-trained Transformer models, foundational models etc.

Job Segment: Data Science, AI Developer, Machine Learning, Artificial Intelligence

• Push the frontiers of what is possible in the area of artificial intelligence and machine learning so as to create new solutions
• Explore, understand, and implement most recent technologies and approaches for data science problems
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Strive for state-of-the art, highly accurate and scalable data science models
• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
• Communicate the relevance of implemented systems and achieved results in a visual and consistent way
• Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts
• Performing quality assurance tasks
• Solve complex regression issues
• Ability to work in global teams with different time zones
• Immerse yourself quickly into new topics, terminology, and development task