·AI/ML Engineer:
- : Develops machine learning models and algorithms, processes data, and implements AI solutions. Experience in training SAP, custom, 3P or open source AI models
- Skills: Proficiency in programming languages (Python, R), knowledge of ML frameworks (TensorFlow, PyTorch), data preprocessing, model training and evaluation.
·Data Scientist:
- : Analyzes and interprets complex data to provide insights, builds predictive models, and helps in the decision-making process.
- Skills: Statistical analysis, data visualization, machine learning, proficiency in data science tools (Jupyter, Pandas), and strong analytical thinking.
·Data/Integration Engineer:
- : Manages and organizes data infrastructure, ensuring data is available, clean, and accessible for analysis. The goal is to centralize this function into Datasphere as much as possible but TBD.
- Skills: ETL processes, database management, data pipeline construction, knowledge of big data technologies. Datasphere/BW experience is a plus.
·AI Solutions Architect:
·UX/UI Designer:
- : Designs intuitive and user-friendly interfaces for AI applications, ensuring a positive user experience leveraging SAP Build.
- Skills: User experience design, user interface design, prototyping tools, and user research.
Job Segment:User Experience, Open Source, Statistics, Developer, Solution Architect, Technology, Data