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Deep Learning Engineer/Machine Learning Engineer Job Opening In Kraków – Now Hiring Vasco Electronics


Job description

Poszukujemy Deep Learning Engineer/Machine Learning Engineer, który dołączy do naszego zespołu badawczo-rozwojowego.

Jako kluczowy członek zespołu będziesz odpowiedzialny za samodzielne projektowanie, rozwijanie i wdrażanie zaawansowanych rozwiązań z zakresu sztucznej inteligencji i uczenia maszynowego przeznaczonych dla urządzeń mobilnych z systemem Android.


Miejsce pracy: Kraków
Tryb pracy: Hybrydowy/Zdalny
Etat: Full time
Rodzaj umowy: Umowa o Pracę, B2B


Wynagrodzenie:
UoP (brutto): 12000 - 16000 PLN
B2B (netto/h FV): 93 - 120 PLN/h

Zakres obowiązków



  • Samodzielne tworzenie i optymalizacja modeli sieci neuronowych (szczególnie w obszarze przetwarzania języka naturalnego, np.

    Machine Translation, NLU) dostosowanych do wymagań urządzeń mobilnych

  • Projektowanie i implementacja algorytmów kompresji modeli, kwantyzacji i technik przyspieszania, by zapewnić wydajne działanie na słabych procesorach i w środowiskach o małej ilości pamięci

  • Integracja modeli AI z aplikacjami mobilnymi przy użyciu frameworków do inferencji na urządzeniu, takich jak TensorFlow Lite (LiteRT), ONNX Runtime lub innych podobnych rozwiązań

  • Prowadzenie badań i eksperymentów w celu poszukiwania innowacyjnych metod i architektur, które spełnią wysokie wymagania wydajnościowe przy minimalnym zużyciu zasobów

  • Bliska współpraca z zespołem deweloperów mobilnych w celu zapewnienia płynnej integracji i optymalnego działania

  • Testowanie i walidacja stworzonych rozwiązań w rzeczywistych warunkach pracy urządzeń

  • Dokumentowanie procesów badawczych i wdrożeniowych

Nasze oczekiwania



  • Minimum 3 lata doświadczenia na podobnym stanowisku

  • Solidna znajomość Pythona i bibliotek do uczenia maszynowego, takich jak TensorFlow, PyTorch

  • Doświadczenie w pracy z frameworkami do inferencji na urządzeniu, takimi jak TensorFlow Lite (LiteRT) lub ONNX Runtime

  • Doświadczenie w pracy z modelami Transformer i technikami przetwarzania języka naturalnego (NLP)

  • Praktyczna wiedza z zakresu optymalizacji modeli na potrzeby urządzeń o ograniczonych zasobach

  • Zrozumienie architektury systemów Android

  • Umiejętność samodzielnego rozwiązywania problemów i chęć do eksplorowania nowych, innowacyjnych rozwiązań

  • Nie wymagamy znajomości środowisk chmurowych

Mile widziane



  • Znajomość Java

  • Znajomość Kotlin

Oferujemy



  • Dostęp do nowoczesnych technologii i możliwość prowadzenia badań w obszarze, który szybko się rozwija

  • Możliwość łączenia świata teorii AI z praktycznym produktem mobilnym

  • Pracę na własnych zasobach sprzętowych GPU

  • Możliwość decydowania o wyborze technologii przy tworzeniu rozwiązań

  • Szkolenia i wyjazdy na konferencje

  • Środowisko oparte na wartościach i przyjazną, nieformalną atmosferę – bez nadęcia, z fajnymi ludźmi i dobrą kawą

  • Budżet do wykorzystania na platformie Worksmile, która oferuje dostęp do takich benefitów jak m.in.

    Multisport, Allianz, Luxmed, PZU oraz wiele innych

  • Elastyczny czas pracy

  • Częste integracje

  • Atrakcje w biurze tj.

    PS5 + VR2, biuro przyjazne zwierzętom, przekąski i owoce w biurze

  • Parking przy biurze

  • Dofinansowanie okularów korekcyjnych 800 zł (na umowie o pracę)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Deep Learning Potential: Insight & Career Growth Guide


Real-time Deep Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Deep Learning in Kraków, Poland, highlighting market share and opportunities for professionals in Deep Learning roles.

131 Jobs in Poland
131
14 Jobs in Kraków
14
Download Deep Learning Jobs Trends in Kraków and Poland

Are You Looking for Deep Learning Engineer/Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Deep Learning Engineer/Machine Learning Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Vasco Electronics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Kraków. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Research: Learn about the Vasco Electronics's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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To prepare for your Deep Learning Engineer/Machine Learning Engineer interview at Vasco Electronics, research the company, understand the job requirements, and practice common interview questions.

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