What you’ll do
- Contribute to the development of internal tools and libraries for LLM development and deployment
- Develop data pipelines for preprocessing, training, and evaluating language models
- Build, optimize and maintain software solutions for automation and data management for training AI / ML models especially large language models (LLMs).
- Collaboration : Work closely with data scientists and stakeholders and manage cross-functional relationships to align infrastructure among teams.
What you bring :
Educational Background : PhD or Master’s degree in Computer Science, or a related field.Experience : 5+ years of experience in software development for ML applicationsTechnical Proficiency : Expertise in LLM model training and data pipeline construction, optimization, and automation.Communication : Exceptional verbal and written communication skills.Key Skills and Competencies
Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlowExperience data processing automation for LLM training and evaluationExperience with distributed deep learning training on multi-GPU systems is a plusMeet your team :
The ABAP Foundation Model team is pioneering AI innovations within the SAP ABAP ecosystem. It is an integral part of the Generative AI foundation within Business AI at SAP. We focus on creating and refining our own Foundation Models using SAP Business Data, pushing the boundaries of what’s possible with AI in business applications. By joining our team, you’ll be an integral part of shaping the future of AI at SAP and driving significant advancements in the field.
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