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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. RITS postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 44 days ago

RITS median: 1 days open

The posting

RITS Group to firma informatyczna, która oferuje najwyższej jakości usługi programistyczne zarówno dla rynku polskiego, jak i międzynarodowego. Jesteśmy dumni, że należymy do grona najszybciej rozwijających się spółek technologicznych. Naszym priorytetem jest jakość oraz innowacyjność dostarczanych rozwiązań, a nasza kultura organizacyjna opiera się na zaufaniu, współpracy i ciągłym doskonaleniu.

  • minimum 2 lata komercyjnego doświadczenia w obszarze Machine Learning lub Data Engineering,
  • bardzo dobra znajomość Pythona oraz doświadczenie z bibliotekami wykorzystywanymi w uczeniu maszynowym i analizie danych,
  • doświadczenie w projektowaniu i utrzymaniu pipeline'ów Machine Learning,
  • znajomość metod oceny jakości modeli i metryk,
  • doświadczenie w przetwarzaniu dużych zbiorów danych z wykorzystaniem Apache Spark lub podobnych technologii,
  • znajomość języka angielskiego na poziomie minimum B2.

⭐ Mile widziane

  • znajomość narzędzi do orkiestracji procesów ML, np. Kubeflow,
  • doświadczenie w pracy z modelami ML wdrażanymi produkcyjnie,
  • znajomość zagadnień związanych z monitorowaniem i optymalizacją modeli ML.
  • testowanie funkcjonalne i wydajnościowe istniejących modeli ML,
  • optymalizacja jakości, wydajności i niezawodności modeli oraz procesów uczenia maszynowego,
  • wsparcie przy wdrażaniu, monitorowaniu i utrzymaniu modeli ML w środowisku produkcyjnym,
  • projektowanie i rozwój skalowalnych pipeline'ów Machine Learning,
  • projektowanie i rozwój procesów przetwarzania danych,
  • praca z dużymi zbiorami danych,
  • analiza wyników modeli oraz dobór odpowiednich metryk i metod oceny jakości,
  • współpraca z zespołami developerskimi, data engineering i data science.

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