Lead Machine Learning Scientist AI
Posted on :
19-04-2024
Employer Active
1 Vacancy
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Job Description
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👥 Your role in the team
- Unique opportunity to lead the development of Foundation Models on structured business data embedded in a rich and diverse business context
- Technical lead for the project team of AI Scientists and Data Engineers, providing strategic guidance and overseeing project execution
- Design a representation suitable for Self-Supervised Learning on data across the entire SAP application and process portfolio
- Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Models.
- Leverage semantic business and process knowledge in the form of a Knowledge Graph
- Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Models align with strategic company objectives of embedding AI into our product portfolio
- Maintain up-to-date knowledge of AI and Data Engineering trends and apply this expertise to improve team performance and product quality
- Establish and drive research collaborations with academic and commercial partners
- Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI
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🌟 Our expectations of you
Qualifications
- Deep understanding of issues and opportunities of applying Generative AI in a business context
- Exceptional teamwork abilities, strong leadership and strategic thinking skills
- Substantial publication record related to LLMs, Foundation Models, or Knowledge Graphs
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Qualifications
- Extensive experience with Foundation Models as well as Machine Learning with Knowledge Graphs (e.g., GNNs)
- Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar
- Ideally, professional experience with Machine Learning on structured data such as in the ERP or CRM domain
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Training
- PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines
Employment Type
Full Time
Company Industry
Department / Functional Area
Key Skills
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