Engineer

  • Warszawa
  • B2bnetwork

Detailed description of work task to be carried out Keeping CP4D compliant, up-to-date and scalable (e.g. new storage solution) Our Target AI architecture is a hybrid cloud where CP4D plays a role. We should harness its capabilities to greater extent (e.g. Open Scale for monitoring, CP4D Feature store, CP4D WMLA, GPUs) Support increasing demand from business (e.g. Propensity, Customer Lifetime Value, Micro-segmentation, channel recommendation models), helping use case team(s) in training and deployments. Reduce time-to-market Help in optimizing our current MLOps practices and libraries, make applicable for wider range of use cases outside propensity models. Harness standard capabilities from CP4D and cloud for scalability Cloud enablement for AI/ML when it comes Description of knowledge and experience Experience with Machine Learning Projects and/or data science models (trainings, testing and implementations ) - 3+ years Advanced knowledge in SQL ( T-Sql, PL/SQL, Spark SQL ) - 3+ years Experience in Spark - 2+ years Experience with Hadoop ecosystem and big data volumes processing in close real time (Hadoop, Hive ) Scala/MLOPS - minimum 1 year of experience Familiar with code versioning strategy - GIT/Bitbucket Req. number 36050