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SAP Senior Data Scientist BTP ABAP AI 
Czechia, Prague, Prague 
857052750

03.04.2025

Responsibilities:

  • Assess requirements necessary for training or fine-tuning large langue models (LLM) for BTP ABAP
  • Design, architect and implement LLM algorithms to process and analyse large datasets to identify trends, patterns, and provide insights.
  • Design and architect large scale training and deployment systems. This includes reuse and integration with BTP GenAI Hub
  • Evaluate the effectiveness of user interactions and model performance continuously, iterating on feedback.Conduct experiments and performance evaluations of AI models.
  • Work hand in hand with the developers to integrate AI solutions into existing systems.
  • Explore, understand, and implement most recent AI technologies, like Large Language Models, Generative AI, etc.
  • Share your knowledge and educate developers to harness latest in technology for business application development.
  • As the LLM models you need to work on are all ABAP code generation type of models, deep understanding of ABAP programming is mandatory, past experience as ABAP developer is a plus.

What you bring:

  • University degree in Computer Science, Statistics, Data Science or related technical field and possess relevant experience.
  • Strong analytical and problem-solving skills with a passion for Machine Learning
  • Extensive knowledge in architecting, training and validating ML models, as well as experience in machine learning evaluation metrics and best practices
  • Solid foundation in computer science, with strong competencies in algorithms, data structures, object-oriented programming, design patterns, multi-threaded programming, and software design principles
  • Proficiency in ABAP programming language is necessary. Candidates are expected to understand ABAP development principles, SAP systems, and programming models.
  • Knowledge of Python programming language is beneficial
  • Excellent communication and collaboration skills are essential, emphasizing the ability to work well in global and cross-cultural team. Fluency in English is a must for this role.


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