We are looking for an ML Engineer/Data Engineer (MLE/DE) in the regional analytics competence center for the pricing department.
Responsibilities
- working with large volumes of data, creating data marts and datasets for modeling.
- data collection and cleaning, creating new features.
- development, implementation, support, and monitoring of machine learning models.
Requirements
- 3rd-4th year student in a university IT specialty
- deep knowledge of Python, machine learning libraries (pandas, pyspark, scikit-learn, etc.), ability to process and analyze large volumes of data (SQL, Apache spark, Hadoop), identify hidden trends and patterns and describe them.
- experience with version control systems (Git, MLflow).
- knowledge of mathematical statistics, probability theory, and a desire to develop in this area.
- understanding of machine learning principles and a desire to develop in this area.
- willingness to learn.
Conditions
- fixed-term employment contract for 3 months
- comfortable modern office
- corporate gym and recreation areas
- adaptation program and supervisor support at the start
- free SberPrime+ subscription, discounts on partner company products.
