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