About the Role
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.
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
Required Educational and Experience
- 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.