Machine Learning Engineer / Data Engineer

We are developing advanced Big Data and Machine Learning solutions that enable near real-time processing and analysis of large data volumes. The infrastructure supports various business areas by providing critical insights for decision-making. By joining our team, you will be responsible for designing, implementing, and deploying ML models and Data Engineering solutions in close collaboration with other company departments. RequirementsMinimum 5 years of experience in Python developmentAt least 4 years working with database technologies (preferably Big Data environments such as Hadoop and Spark)4+ years of experience with Machine Learning projects (model training, testing, and implementation)Advanced knowledge of SQL (T-SQL, PL/SQL, Spark SQL)Experience with the Hadoop ecosystem (e.g., Hive) for large-scale data processingFamiliarity with code versioning tools (GIT/Bitbucket)Nice to have: knowledge of GenAI (LangChain, llamaindex, multimodal setups), Scala, MLOpsFamiliarity with Agile/SAFe frameworks and experience with microservices, REST APIs, WebSocket Tech Stack:Python HadoopSparkSQLGit ResponsibilitiesDevelop and maintain advanced Machine Learning models and data processing workflowsDesign and implement data pipelines (ETL/ELT) in Big Data environmentsCollaborate with DevOps and Data Science teams to optimize performance and scalabilityAnalyze business requirements and translate them into engineering tasksMonitor and troubleshoot deployed solutions, implementing improvements as neededParticipate in project meetings, share expertise, and support other team membersGdynia, Gdańsk, Warszawa, Łódź