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* Targeted on-boarding date for this cohort: January 2025*
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
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Successful candidates might be required to undergo a background verification with an external vendor.
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