Fachowiec Data Science w obszarze Machine Learning

11 godzin temu


Kraków, Polska j-labs Pełny etat

Dołącz do j-labs Wykorzystaj Maszynowe Nauczanie w celu analizy komunikacji elektronicznej.

O projekcie

  • Praca nad rozwiązaniem, które umożliwia globalne monitorowanie komunikacji elektronicznej w sektorze finansowym.
  • Zadania obejmują praktyczne wykorzystanie Maszynowego Nauczania.
  • Monitorowanie kanałów elektronicznych pod kątem:
  • Możliwych naruszeń.
  • Przeciwdziałanie działaniom związanym z nielegalnym obrotem środkami finansowymi i korupcją.
  • Analizy języka stosowanego w komunikacji (zgodność z dobrymi praktykami).
  • Duża skala systemu – wyzwania związane z jego rozmiarami i złożonością.
  • Praca hybrydowa - z biura w Krakowie 1-2 x w tygodniu.

Twoje zadania

  • Budowanie procesu deploymentu modeli ML na środowisko produkcyjne.
  • Monitorowanie funkcjonowania modeli ML w środowisku produkcyjnym.
  • Budowanie i utrzymywanie rozbudowanych systemów opartych na chmurze GCP.
  • Automatyzacja procesów i przepływów pracy, zwłaszcza związanych z utrzymaniem systemów w zgodności z przepisami i aktualnościami.

Wymagania

  • Wymagana wiedza techniczna: Python, GCP, Bash, Groovy, Ansible Tower / skrypty Ansible, Jenkins, Terraform, Airflow, GKE, GCE, Vertex AI, BigQuery, Cloud Composer, SQL, Hadoop, ElasticSearch, Network.
  • Silne umiejętności rozwiązywania problemów i analityczne.
  • Dobra znajomość zasad i narzędzi DevSecOps.
  • Doświadczenie w administracji systemami Linux, preferowane Red Hat.
  • Doświadczenie w pracy z narzędziami Continuous Integration (CI), Continuous Delivery (CD) i Continuous Testing.
  • Umiejętność automatyzacji procesów przy użyciu języków skryptowych (np. Terraform, Ansible).
  • Biegła znajomość języka polskiego oraz angielskiego.

Benefity

  • Stabilność i długofalowa współpraca.
  • Wielkość firmy powoduje także wiele innych dogodnych warunków, takich jak cztery powszechne święta roku za naszą pracę. Jesteśmy w pierwszej dziesiątce firm która uzyskała najwyższe noty w rankingu Great Place to Work 2023
  • Możesz zmienić projekt – rób to co lubisz, rozwijaj swoje kompetencje, zdobywaj nowe.
  • Robimy dobre IT albo wcale. Technologie, w których pracujemy to m.in. Python, AI, Java 21, Spring, Mikroserwisy, AWS/Azure/GSP/, Terraform,
  • Eksperci przyciągają ekspertów – średnie doświadczenie naszych inżynierów wynosi 9 lat, a 30% zostaje zatrudnionych z polecenia.
  • Mamy zakodowane, że jest czas pracy i czas nie pracy, więc bardzo dbamy o to, aby work life balance został zachowany.


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