frameworks and algorithm tuning
Qualifications
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch)
You will also enjoy a flexible hybrid working model for a satisfying work/life balance.
If
Experience: 2 - 4years A good understanding of UML modelling A good understanding of microservices Proficient
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch)
- 4years
or B.Sc. (Informatics) - Essential Dimensional modelling and/or relevant Microsoft certification – Advantageous
You will also enjoy a flexible hybrid working model for a satisfying work/life balance. If you're ready
effective integration after which it will be a hybrid model. 2 days in the office every 2nd week. TCTC - R780