Devire
Devire
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Python Developer/ Machine Learning Engineer

90 - 105 PLN/ godz.B2B
MidFull-time·B2B
#368961·Dodano wczoraj·0
Źródło: Devire
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Tech Stack / Keywords

PythonMachine LearningData SciencePandasNumPySQLSQL ServerAPI

Firma i stanowisko

Devire Outsourcing IT is a collaboration model dedicated to IT specialists based on B2B contracts, executing projects for clients running innovative and modern projects. The client operates in the banking sector.


Wymagania

  • Minimum 3 years of experience in Machine Learning/Data Science with production projects
  • Proficiency in Python and ML libraries (e.g., scikit-learn, pandas, numpy, LightGBM/XGBoost)
  • Experience building, training, and validating supervised ML models
  • Knowledge of SQL/SQL Server including query optimization and working with large data volumes
  • Skills in data preparation and processing (data wrangling, feature engineering)
  • Experience deploying models to production (API, batch processing, system integration)
  • Familiarity with MLOps best practices (model versioning, CI/CD, Docker)
  • Ability to work with data pipelines (e.g., SSIS, Python, other ETL tools)

Obowiązki

  • Build, train, and validate machine learning models supporting financial product sales
  • Prepare, process, and analyze large datasets
  • Create feature engineering and develop predictive models
  • Implement solutions in Python using ML libraries
  • Work with SQL/SQL Server databases, including query optimization
  • Deploy models to production environments via API, batch processing, or system integrations
  • Create and maintain data pipelines and ETL processes
  • Apply MLOps best practices including CI/CD, Docker, and model versioning
  • Collaborate with business and technical teams on ML solution development

Oferta

  • Compensation based on B2B contract via Devire
  • Option to purchase benefits package (medical care, multisport card, life insurance, cafeteria system)
  • Long-term cooperation
  • Hybrid work model (2 days in office in Warsaw or Poznań)
  • Collaboration with business and technical teams impacting business directly
  • Work environment combining Data Science, Python development, and data engineering
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