The consultant is responsible for designing and setting up a modular and future-proof machine learning framework.

Associated tasks:

• Implementing best practices for data preprocessing, model training, validation, and deployment
• Integrating maintenance and feedback mechanisms (monitoring model performance, retraining)
• Managing version control and reproducibility of models
• Visualizing and sharing results
• Providing logging and system monitoring
• Preparing the infrastructure with a view to migration to cloud environments
• Documenting processes and procedures
• Coaching and supporting team members in the use of the framework
• Presenting analyses and results to business stakeholders

The consultant also develops and applies machine learning models to support business use cases.

Associated tasks:

• Translating business questions into technical solutions in iterative development cycles
• Identifying and validating data sources
• Performing data analysis and data preparation
• Conducting feature engineering to create relevant variables
• Performing exploratory data analysis (EDA) to evaluate data quality and patterns
• Selecting and evaluating suitable algorithms
• Developing, comparing, and tuning predictive models
• Automating the model development process
• Visualizing and presenting results in a clear and convincing manner
• Continuously evaluating and optimizing models

Language regime:

One of the two national languages is the native language. The other national language must be read and understood.

Remote work:

The consultant comes to the office 2 days per week. The other days he/she can work remotely.

Interview:

The interview will be combined with a practical assignment.