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Open nowPosted 33 days ago

(522300208320)-PKO ZOB-2845 Inżynier Machine learning/MLOPS middle/senior TRZECIA RUNDA 026-09-30 08:30

RITS129 open roles

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Your applicationOpen now(522300208320)-PKO ZOB-2845 Inżynier Machine learning/MLOPS middle/senior TRZECIA RUNDA 026-09-30 08:30RITS

  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.

12.3% 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 33 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.

📍 Warszawa | hybrydowo – 2 dni w tygodniu w biurze 💰 Mid: do 155 zł/h netto | Senior: do 175 zł/h netto na B2B

Poszukujemy doświadczonego Machine Learning / MLOps Engineera, który dołączy do projektu realizowanego dla sektora bankowego. Rola obejmuje rozwój zaawansowanych modeli predykcyjnych wspierających procesy CRM, marketing i sprzedaż.

  • min. 8 lat doświadczenia w modelowaniu predykcyjnym, preferencyjnie w bankowości,
  • bardzo dobra znajomość Python i SQL,
  • doświadczenie z GCP: BigQuery, Vertex AI, MLflow, Airflow, DataFlow, DataProc,
  • znajomość Spark/PySpark,
  • doświadczenie w MLOps / CI/CD dla modeli ML,
  • doświadczenie z dużymi zbiorami danych.

⭐ Mile widziane: doświadczenie z GenAI/LLM oraz Streamlit.

  • rozwój modeli ML/NLP, Deep Learning, Transformerów i LLM w Python/PyTorch,
  • projektowanie modeli od prototypu do produkcji,
  • rozwój i utrzymanie pipeline’ów ML oraz MLOps,
  • praca z dużymi zbiorami danych i rozwiązaniami near real-time,
  • rozwój rozwiązań w GCP,
  • udział w projektach GenAI, hiperpersonalizacji i R&D,
  • współpraca z zespołami biznesowymi i IT.
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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on RITS's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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