{"id":3834296,"url":"https://alion.io/job/remodevs-ml-engineer","title":"ML Engineer","company":{"id":4184353,"name":"RemoDevs","domain":"remodevs.com","url":"https://alion.io/company/remodevs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CatBoost","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LightGBM","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"XGBoost","optional":false},{"name":"Claude","optional":true},{"name":"Cursor","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-05T18:29:54Z","employer_posted_date":null,"last_verified_at":"2026-11-05T18:29:54Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Opis stanowiska\nSzukamy doświadczonego ML Engineera, który będzie budował i utrzymywał produkcyjne modele wpływające bezpośrednio na decyzje biznesowe: do kogo kierujemy komunikację, co rekomendujemy i jak inwestujemy budżet marketingowy. Odpowiadasz za modele od początku do końca: od tworzenia cech w BigQuery, przez wdrożenie na GCP, po dostarczanie predykcji do zewnętrznych platform, gdzie uruchamiają automatyczne akcje, takie jak optymalizacja kampanii, rekomendacje czy ustalanie cen.\nObowiązki\nBudowa, wdrażanie i utrzymanie produkcyjnych modeli ML w niezawodnym, dobrze przetestowanym kodzie w Pythonie\nTworzenie cech, kontrole jakości danych i cykliczne transformacje w BigQuery\nWdrażanie i obsługa workloadów ML na GCP (Vertex AI, Pub/Sub, Cloud Run, Composer/Airflow)\nIntegracja predykcji z zewnętrznymi platformami przez API w celu automatyzacji działań\nStrojenie i ewaluacja modeli gradient boosting pod kątem metryk istotnych biznesowo\nKalibracja predykcji oraz ocena, jak błędy modelu wpływają na kolejne decyzje\nWymagania\nMin. 5 lat praktycznego doświadczenia w inżynierii ML w Pythonie, w tym odpowiedzialność za wdrożone modele i niezawodny kod produkcyjny\nDoświadczenie w integrowaniu predykcji z zewnętrznymi platformami przez API, umożliwiającym automatyczne akcje, takie jak optymalizacja kampanii, rekomendacje lub pricing\nZaawansowana znajomość SQL i BigQuery: tworzenie cech, kontrole danych, cykliczne transformacje\nPraktyczne doświadczenie we wdrażaniu workloadów ML na GCP z użyciem usług takich jak Vertex AI, Pub/Sub, Cloud Run oraz Composer/Airflow\nProdukcyjne wykorzystanie modeli gradient boosting (LightGBM, CatBoost lub XGBoost), w tym strojenie i ewaluacja względem metryk biznesowych\nUmiejętność kalibracji predykcji i oceny, jak błędy modelu wpływają na decyzje podejmowane na dalszych etapach\nMocno widziane\nDoświadczenie w łączeniu rekordów i zdarzeń klientów między systemami (entity matching, identity resolution)\nPraca nad modelami skłonności do zakupu, retencji, segmentacji lub wartości życiowej klienta (LTV) w e-commerce lub DTC\nDostarczanie sygnałów konwersji server-side do platform reklamowych, w tym Google i Meta\nZnajomość metod bayesowskich lub 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Docs: https://alion.io/developers"}}