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Senior MLOps Engineer Job Opening In Wrocław – Now Hiring Antal Sp. z o.o.


Job description

Opis oferty


Jako MLOps Platform Engineer będziesz pełnił rolę konsultanta MLOps dla klientów korporacyjnych, wspierając transformację ich operacji związanych z infrastrukturą ML.

Rola ta łączy wiedzę z zakresu inżynierii platform z ukierunkowaniem na potrzeby klienta — będziesz ściśle współpracować z innymi specjalistami oraz zespołami inżynierskimi klienta, aby budować i optymalizować podstawową infrastrukturę ML.

Będziesz działać w środowiskach wymagających dużej niezależności technicznej oraz silnych umiejętności zarządzania relacjami z klientem.




Zadania:




  • Tworzenie architektury systemów kompilacji na dużą skalę, obsługujących złożone procesy szkolenia i wdrażania modelu ML klienta.




  • Projektowanie i wdrażanie rozwiązań integracji z systemami HPC przy użyciu REST API Slurm, obsługujących natywne dla chmury obciążenia ML klienta na platformie Google Cloud Platform (GCP).




  • Optymalizacja wydajności skonteneryzowanych obciążeń klienta, w tym dużych kontenerów oraz długo działających procesów uczenia maszynowego (ML).




  • Implementacja infrastruktury klienta przy użyciu Terraform na GCP, z integracją istniejących środowisk Vertex AI i GKE.




  • Prowadzenie inicjatyw migracji infrastruktury klienta z Azure DevOps do GitHub Actions, z uwzględnieniem ustalonych terminów i ograniczeń.




  • Ścisła współpraca z zespołami inżynierskimi klienta w celu zapewnienia, że operacje platformy spełniają ich konkretne wymagania biznesowe oraz potrzeby związane z onboardowaniem.






Wymagania:



  • Ponad 5 lat doświadczenia w inżynierii platform z udokumentowanymi sukcesami w realizacji projektów dla klientów w środowiskach doradczych.

  • Duża wiedza z zakresu infrastruktury GCP i wdrażania platformy Vertex AI.

  • Biegłość w tworzeniu i optymalizacji backendowych usług w Pythonie.

  • Praktyczne doświadczenie w Kubernetes i pracy z GKE w środowiskach korporacyjnych.

  • Udokumentowane doświadczenie w stosowaniu Infrastructure as Code z wykorzystaniem Terraform w projektach wdrożeniowych.

  • Doświadczenie w dostarczaniu systemów buildowania na dużą skalę oraz optymalizacji pipeline'ów CI/CD.

  • Znajomość strategii konteneryzacji złożonych obciążeń ML i optymalizacji ich wydajności.

  • Doświadczenie w pracy w środowiskach opartych na Git oraz w projektach migracyjnych do GitHub Actions.

  • Zrozumienie środowisk HPC oraz systemów kolejkowania zadań (Slurm REST API).

  • Doświadczenie we wdrażaniu i optymalizacji modeli PyTorch w środowiskach ML na poziomie korporacyjnym.

  • Doświadczenie w implementacji komponentów platform ML (Feature Store’y, szablony modeli, usługi zadań).

  • Doświadczenie w kontaktach z klientem w zakresie optymalizacji wydajności baz danych dla obciążeń ML.

  • Znajomość integracji z API modeli językowych (LLM) oraz infrastruktury GenAI w środowiskach regulowanych.


 




Klient:


Nasz klient to globalna firma technologiczna specjalizująca się w doradztwie IT, inżynierii oprogramowania, chmurze obliczeniowej, danych oraz sztucznej inteligencji.

Wspiera organizacje na całym świecie w ich cyfrowej transformacji, oferując zarówno usługi doradcze, jak i tworzenie oprogramowania.

Firma kładzie duży nacisk na innowacyjność, dzielenie się wiedzą oraz ciągły rozwój swoich zespołów technicznych..


Oferujemy:



  • Współpracę w międzynarodowym środowisku

  • Możliwość pracy przy nowoczesnych, skalowalnych projektach w chmurze

  • Pełne wsparcie i dzielenie się wiedzą w doświadczonym zespole

  • Elastyczny model pracy zdalnej

  • Szansa na rozwój umiejętności technicznych i udział w innowacyjnych inicjatywach

  • Konkurencyjne wynagrodzenie w ramach umowy B2B




Proces rekrutacyjny:




  1. Weryfikacja aplikacji




  2. Wstępna akceptacja




  3. Rozmowa telefoniczna z rekruterem




  4. Weryfikacja techniczna z klientem




  5. Finalna rozmowa z przedstawicielami klienta




  6. Oferta pracy




Gotowy na kolejne wielkie wyzwanie?

Aplikuj za pomocą formularza rekrutacyjnego i dołącz do nas!


 

Sprawdź inne ciekawe oferty pracy na:   


 

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior MLOps Potential: Insight & Career Growth Guide


Real-time Senior MLOps 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 Senior MLOps in Wrocław, Poland, highlighting market share and opportunities for professionals in Senior MLOps roles.

5047 Jobs in Poland
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Download Senior Mlops Jobs Trends in Wrocław and Poland

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