MLops Engineer
3 miesięcy temu
Poszukujemy kandydatów na stanowisko MLops Engineer. Praca jest dedykowana dla międzynarodowej firmy z obszaru technologii medycznych/farmacji.
Projekt:
"Galileo koncentruje się na szybko rozwijających się obszarach sztucznej inteligencji (AI), koncentrując się na umożliwianiu wartościowych przypadków użycia AI za pośrednictwem platform dostosowanych do potrzeb. W swojej istocie Galileo ma na celu stworzenie fundamentów dla Centrum Doskonałości w AI i GenAI, innowacyjnego centrum skupiającego wiodących ekspertów AI."
Obowiązki
- Jako inżynier MLOps w firmie będziesz odgrywać kluczową rolę w łączeniu Data Science z operacjami IT.
- Będziesz odpowiedzialny za projektowanie, wdrażanie i utrzymywanie infrastruktury i narzędzi wymaganych do wdrażania, monitorowania i zarządzania modelami uczenia maszynowego w środowisku produkcyjnym.
- Twoja praca zapewni, że modele uczenia maszynowego będą solidne, skalowalne i będą zapewniać stałą wydajność.
- Rozwój pipelinów CI/CD dla modeli ML
- Automatyzacja środowiska ML przy użyciu takich narzędzi jak Docker, K8S, Terraform
Wymagania
- Minimum 2 lata na podobnym stanowisku
- Znajomość obszaru DevOps
- Znajomość koncepcji konteneryzacji (Docker, Kubernetes)
- Umiejętność tworzenia pipelinów CI/CD
- Znajomość technologii chmurowych (najlepiej AWS)
- Bardzo dobry angielski (min B2/C1)
Mile widziana znajomość:
- Narzędzi MLops (np. MLflow, Kubeflow, Amazon SageMaker)
Oferujemy
- Stabilne współpraca w oparciu o kontrakt B2B
- 100% pracy zdalnej
- Stawka w zależności od doświadczenia (100 - 125) pln/h + VAT
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