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.

Work: 1 day a week from the office

Machine Learning Engineer / Data Engineer

Your 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

Our 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)
• Familiarity with Agile/SAFe frameworks and experience with microservices, REST APIs, WebSocket
• Knowledge of GenAI (LangChain, llamaindex, multimodal setups), Scala, MLOps