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.   Requirements • Minimum 5 years of experience in Python development • At 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 processing • Familiarity with code versioning tools (GIT/Bitbucket) • Nice to have: knowledge of GenAI (LangChain, llamaindex, multimodal setups), Scala, MLOps • Familiarity with Agile/SAFe frameworks and experience with microservices, REST APIs, WebSocket   Tech Stack: • Python • Hadoop • Spark • SQL • Git   Responsibilities • Develop and maintain advanced Machine Learning models and data processing workflows • Design and implement data pipelines (ETL/ELT) in Big Data environments • Collaborate with DevOps and Data Science teams to optimize performance and scalability • Analyze business requirements and translate them into engineering tasks • Monitor and troubleshoot deployed solutions, implementing improvements as needed • Participate in project meetings, share expertise, and support other team members Gdynia, Gdańsk, Warszawa, Łódź