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.