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Open nowPosted 134 days ago

Senior ML Engineer - talent pool

RITS132 open roles

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Your applicationOpen nowSenior ML Engineer - talent poolRITS
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on RITS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% 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. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 134 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.

Chcesz rozwijać swoją karierę w obszarze sztucznej inteligencji, machine learning i MLOps? Do naszego Talent Pool poszukujemy inżynierów ML na różnym poziomie doświadczenia (junior, mid, senior), którzy będą mogli dołączyć do innowacyjnych projektów naszych klientów z branż takich jak farmacja, biotechnologia, finanse czy nowoczesne technologie.

Dlaczego Talent Pool?

Dołączając do Talent Pool RITS:

  • zyskujesz pierwszeństwo w dopasowaniu do nowych projektów,
  • możesz liczyć na indywidualne wsparcie rekruterów i opiekuna technicznego,
  • otrzymujesz dostęp do ofert dopasowanych do Twojego profilu i ścieżki kariery.
  • doświadczenie w obszarze uczenia maszynowego, AI lub data science (minimum 2 lata – w zależności od poziomu),
  • biegłość w Pythonie i bibliotekach ML (np. scikit-learn, TensorFlow, PyTorch, Keras, OpenCV),
  • znajomość zasad tworzenia oprogramowania i narzędzi typu Git, CI/CD, Docker, Kubernetes,
  • doświadczenie w pracy z danymi i SQL oraz chmurowymi rozwiązaniami (AWS/GCP/Azure),
  • dobra znajomość języka angielskiego (B2+).

Mile widziane:

  • praktyka z obszarów NLP, Computer Vision, systemów rekomendacyjnych lub forecastingu,
  • znajomość narzędzi MLOps (MLflow, Kubeflow, SageMaker),
  • doświadczenie w projektach komercyjnych w środowisku Agile.
  • przygotowanie i analizę dużych zbiorów danych,
  • tworzenie, trenowanie i wdrażanie modeli ML/AI,
  • rozwój i optymalizację pipeline’ów ML w środowiskach chmurowych (AWS, Azure, GCP),
  • współpracę z zespołami Data Science, DevOps i biznesowymi przy projektach end-to-end,
  • automatyzację procesów wdrażania i monitorowania modeli (MLOps).
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    The review screen in CV Rocket: how each CV was read, round by round.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

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The numbers game

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Before you press

Straight answers

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