You will be responsible for:
- Building Machine Learning models using state of the art methods for classification and regression (Gradient Boosting, Neural Networks, regularised Regression)
- Monitoring model performance
- Feature engineering, exploration of feature importance and feature selection
- Setting up validation framework
- Optimizing data pipelines
- Data exploration and anomaly detection
- Bug fixing/model maintenance with the usage of Machine Learning techniques
We are looking for:
- Experience with programming languages – Python, R, Java
- Hands-on experience with un/supervised learning
- Hands-on experience with Regression, Neural Networks, Gradient Boosted Machines
- Hands-on experience with Feature engineering, Validation frameworks
- Hands-on experience with data exploration
- Hands-on experience with SQL
- Strong understanding of graduate-level statistics
- We also recognize and put value on experience in competitive Machine Learning (e.g. Kaggle).
- Nice to have: experience with PowerBi, Tableau
- Nice to have: experience with cloud platforms: AWS, Azure, GCP
We offer:
- Exciting full-time job in a friendly and supportive environment
- Creating innovations that have real impact on our clients’ business
- Very strong learning possibilities
- Potential travels / projects abroad
- Gaining knowledge and experience in project work with the support of an experienced team
- Competitive salary adequate to the effects achieved
- Medical package and co-financing of the Multisport Card
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