Machine Learning Engineer

Remote possible: 100% Paid vacation: 26 Skills Azure – Good MS SQL – Good Python – Good Your tasks 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. Project description Requirements: Experience with Microsoft Azure Data stack: Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Analysis Services, Power BI, Experience with On-Premise Microsoft BI stack technologies like SQL Server, SSIS, SSRS, SSAS, Experience with Azure Cognitive Services, Azure Machine Learning, Azure Databricks, Spark, Very good knowledge of Python, Theoretical understanding of Machine Learning, Nice to have familiarity with: R, Scala, .

NET, Ability to work in a team and mentor less experienced members of the team, Fluent English. We offer 8k PLN self-development budget for training, international conferences, university courses, Hardware budget, All necessary licenses and tools for performing work, Co-financing of Multisport Card, Co-financing of Medical Care, Co-financing of additional group insurance, Clear, quantitative conditions for position promotion and a career path, Quarterly financial bonuses, International projects for various market sectors/verticals, Authorized certifications have done on a regular basis, Flexible working hours including remote work.