Machine Learning Engineer

Predica is an IT consulting company that helps companies around the world to boost IT systems for better, safety, and productivity by implementing award-winning Microsoft technologies.

Currently, we are looking for a Machine Learning Engineer from a specialist or senior level, who could join our company and would help build a motivated and determined team.
We are passionate about IT and if you seem to have similar values as we do, do not hesitate to send your CV! :)

Job responsibilities:

  • Participating in BI / ML projects based on Microsoft Data stack. 
  • Solving machine learning problems such as forecasting, churn modeling, segmentation, targeting, etc., 
  • Designing and implementing end to end machine learning pipelines including EDA, feature engineering, feature selection, model training, model deployment in Azure 
  • Developing in-house algorithms from areas of recommender systems and knowledge mining, 
  • Solving speech, text, image, and video analytics problems with Azure Cognitive Services Stack, 
  • Perform solutions handover, knowledge transfer, training, and workshops, prepare project documentation, collecting requirements from the Client, 
  • Break down business requirements into technical specifications. 

Requirements:

  • Experience with Azure Cognitive Services, Azure Machine Learning, Azure Databricks, Spark
  • Very good knowledge of Python
  • Theoretical understanding of Machine Learning
  • Ability to work in a team and mentor less experienced members of the team
  • Fluent English 

    Nice to have:
  • Familiarity with R
  • Experience with Microsoft Azure Data stack: Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Analysis Services, Power BI

We offer:

  • 8000 PLN
    self-development budget
  • Globetrotter bonus
  • Hardware budget
  • All necessary licenses and tools for performing work
  • Co-financing
    of Multisport card
  • Co-financing
    of Medical Care
  • Co-financing additional group insurance
  • International projects
  • Clear career path
  • Mentorship
  • Flexible working hours including remote work
Apply