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Task Description:
- Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models
- Data preparation, exploratory data analysis and statistical analysis. Conception of labelling processes
- Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures
- Conception and implementation of automated pipelines for model creation and quality assurance
- Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
- Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance
- Documentation and communication of the procedures and results in a target group-adequate form.
Responsibility and Scope for decision-making:
- Independent consulting of the customer to identify new areas of application of AI.
- Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
- Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
- Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
- Conception and implementation of automated pipelines for model creation and quality assurance.
- To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
- Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
- Networking and sharing of knowledge and experience within the company, within the Group and beyond.
Qualifikationen
Qualifications / Experience:
- Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
- Experience with Agile methodologies
- Experience with Enterprise technologies
- Experience with Product Oriented Teams
- Programming or Data Architecture related certification
Specific knowledge/ Skill:
- Excellent communication skills
- Good customer service orientation
- Analytical, passionate and drives technology and product quality
- Result-oriented thinking and action
- Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
- Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
- Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
- Ability to implement and configure machine learning / semantic models close to the state of research.
- Ability to design and implement automated pipelines for model creation and quality assurance.
- Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
- Knowledge of applicable rules from the areas of data, AI and IT security compliance.
- Ability to document and communicate the procedures and results in target group-adequate form.
Technical:
- SQL/noSQL, Python or R, Spark, Apache libraries, Machine Learning algorithms, Cloud Computing and Data Architectures