As a Machine Learning Engineer, youll be working on an external fintech project. By joining Scalac, youll become part of an organization rooted in the Nordic region, which offers a dynamic and innovative work environment and is an attractive workplace for those seeking to contribute to cutting-edge financial solutions.
Youve the flexibility to work remotely, but you need to be based in Poland.
responsibilities :
Keeping CP4D compliant, up-to-date and scalable (e.g. new storage solution).
The target AI architecture is a hybrid cloud, with CP4D playing a key role. We should leverage its capabilities more extensively, such as using OpenScale for monitoring, CP4D Feature store, CP4D WMLA, GPUs.
Support increasing demand from business (e.g. Propensity, Customer Lifetime Value, Micro-segmentation, channel recommendation models).
Assist in optimizing our current MLOps practices and libraries to support a broader range of use cases beyond just propensity models. Leverage standard capabilities from CP4D and cloud platforms to enhance scalability.
Facilitate cloud enablement for AI/ML initiatives.
requirements-expected :
At least 1 year of experience in Scala/MLOPS.
2+ years of experience in Spark.
3+ years of experience in Machine Learning Projects and/or data science models (trainings, testing and implementations).
3+ years of experience in SQL (T-Sql, PL/SQL, Spark SQL).
Experience in Hadoop ecosystem and big data volumes processing in close real time (Hadoop, Hive).
Familiarity with code versioning strategy - GIT/Bitbucket.
offered :
Great team of experts and passionate folks ready to share their knowledge!
Development & mental health budget - 4000 PLN* net/ per year (*or equivalent currency in USD or EUR).
3 additional development days off.
Holiday bonus (21 days, B2B).
National holiday bonus (depends on location, B2B).
1000 PLN net dedicated to language skills development (English).
Unlimited book budget.
You can choose the equipment you want to work on (whether its Linux or macOS).
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
