{"id":2445750,"url":"https://alion.io/job/get-it-together-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":1152177,"name":"Get IT Together","domain":"get-it-together.ca","url":"https://alion.io/company/get-it-together","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitify","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, 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Get IT Together.\nDługoterminowy projekt realizowany dla renomowanej firmy z branży medialnej.\nMożliwość pracy przy zaawansowanych rozwiązaniach z obszaru AI i Machine Learning.\nHybrydowy model pracy w Warszawie.\nStabilną współpracę w ramach kontraktu od kwietnia 2027 do marca 2030 roku.\nZakres odpowiedzialności:\nBudowa i rozwój środowiska MLOps opartego o Kubernetes, Docker oraz zasoby CPU/GPU.\nTworzenie i utrzymanie pipeline'ów do przetwarzania danych, trenowania, ewaluacji i wdrażania modeli ML.\nAutomatyzacja eksperymentów, wersjonowania modeli oraz monitoringu jakości i wydajności.\nIntegracja komponentów ML z istniejącymi systemami i procesami.\nOptymalizacja rozwiązań pod kątem skalowalności, niezawodności i wysokiej dostępności.\nPrzygotowywanie dokumentacji technicznej oraz wsparcie procesu wdrożeń.\nJakie kompetencje są niezbędne:\nWykształcenie wyższe (informatyka, matematyka, statystyka, fizyka, data science, AI lub pokrewne).\nMinimum 5 lat doświadczenia w software 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