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emagine Polska
Scraped fromWorkYesterday
Data Science

Data Scientist/Data Engineer

PythonPolarsPandasSparkScalaLanggraph
Work Type
Hybrid
Job Type
Part Time
Location
Worldwide
Salary
PLN 150–220 / HOUR

About the Position

emagine Polska is seeking an AI/Data Engineer for an international project focused on building AI-driven data solutions for web content processing, attribute extraction, and market expansion. The role involves designing data pipelines, fine-tuning ML models, and working with Python, Spark, and NLP. The project is hybrid in Warsaw with a 3-month contract.

Responsibilities

  • Building and optimising Spark pipelines for large-scale web content ingestion and processing.
  • Using Python, including Polars and/or Pandas, for data processing, analysis and pipeline development.
  • Fine-tuning lightweight ML models for task-specific attribute extraction.
  • Preparing training data, managing data quality and evaluating model performance end-to-end.
  • Working with NLP techniques to extract, classify and reason over information from web content.
  • Expanding an internal AI research agent to new geographic markets and adapting logic to local data conditions.
  • Supporting evidence collection and reasoning logic for new place-related attributes.
  • Evaluating ML systems across different locales, domains and data sources.
  • Working with pipeline orchestration, optimisation and multi-source ingestion processes.
  • Potentially using Scala and Spark in data engineering tracks.

Requirements

  • Strong Python skills, especially with Polars and/or Pandas.
  • Experience with NLP and fine-tuning lightweight ML models.
  • Practical experience in designing, building and evaluating data pipelines.
  • Experience with Spark and, ideally, Scala.
  • Familiarity with agent frameworks, especially LangGraph.
  • Understanding of data quality, model evaluation and performance measurement.
  • Ability to adapt ML/data solutions to different countries, languages and data domains.
  • Experience with pipeline orchestration and optimisation for large-scale data ingestion.
  • A hands-on, problem-solving mindset and ability to work in a fast-moving environment.
Data Scientist/Data EngineerPLN 150–220 / HOUR
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