SAP AI Engineer f/m/d & Technology Consultant 

Germany, Baden-Württemberg 

507880008

YOUR FUTURE ROLE

experienced technology senior consultant (f/m/d) as AI Engineer (f/m/d) (partially Data Scientistf/m/d) who take over responsibility for successful solution adoption in demanding consulting and development projects.

• You combine knowledge of business and technology innovation to aid companies in their respective businesses.
• You demonstrate what companies can achieve using SAP Business Technology Platform and AI.
• Youtake over responsibility for successful solution adoption in demanding consulting and development projects.
• You act in all phases of the engagement live cycle and impress customers, partners and colleagues with sustainable and trust-building leadership, even in demanding internal and external projects.
• You focus on applying machine learning to solve real world problems.

YOUR PROFILE

For this position, we are considering professionals (f/m/d) with several years of relevant work experience, a relevant university degree and the following qualifications:

• Proven development experience with SAP Business Technology Platform, ideally in combination with SAP ERP/SAP S/4HANA
• Knowledge of software development with Python and JavaScript (other languages are a plus)
• Deep understanding of machine Learning and AI frameworks (like PyTorch, TensorFlow, SAP HANA APL/PAL, scikit-learn)
• Project experience in (cloud/hybrid) machine learning, data integration, data modelling, data analysis and development of applications and architectures

The following skills round off your applicant profile:

• Broad knowledge in statistics, probability, and linear algebra
• Very strong analytical, problem-solving, and conceptual skills
• Ability to present complex information clearly and concisely to both technical and non-technical audiences
• Good presentation and facilitation skills
• Fluent German and very good English skills.

The following experience would be advantageous for you as an applicant:

• Running machine learning models in production (machine learning lifecycle, scaling)
• Integration of machine learning models with business applications
• Experience with Azure, GCP, AWS and AliCloud
• Experience in the conception of microservice environments including containerization and implementation with e.g. Cloud Foundry, Kubernetes or Kyma, SAP AI Core
• Knowledge of IT infrastructure security
• Customer facing role experience