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AI Engineer @
2 tygodni temu
Forma współpracy: B2B
Jak pracujemy? zdalnie/hybrydowo/biuro
Nie wymagamy znajomości wszystkich wymienionych narzędzi, ale ważne jest abyś bardzo dobrze znał/a przynajmniej kilka z nich.
masz wiedzę i doświadczenie w machine learning i przetwarzaniu danych
tworzysz/znasz modele ML/AI (klasyfikacyja/regresja/sieci neuronowe/lstm/conv/generativeAI)
tworzysz/znasz modele NLP (deep learning/transformery/large language models)
znasz Python
masz doświadczenia z PyTorch/TensorFlow, NumPy, OpenCV, Pandas, SciPy, Scikit-learn, SpaCy, PySpark
*jesteś zaznajomiony z Google Cloud Platform - Big Query/Jupiter Notebooks/MLFlow/Data Proc/Airflow
*jesteś zaznajomiony platforma Azure AI Platform
*posiadasz wykształcenie wyższe, kierunek informatyczny lub pokrewny
jesteś osobą samodzielną, dobrze zorganizowaną, proaktywną i kreatywną
chcesz się dalej rozwijać i podnosić swoje kwalifikacje
*doświadczenie w programowaniu z wykorzystaniem języków obiektowych
umiejętność pracy z systemem kontroli wersji GIT,
*umiejętność szybkiego pozyskiwania i przyswajania wiedzy oraz analizowania działania skomplikowanych systemów informatycznych
*znajomość języka angielskiego w stopniu umożliwiającym swobodne posługiwanie się dokumentacja techniczną
Stack Technologiczny: Python, PySpark, PyTorch/TensorFlow, *NumPy, *Pandas, *SciPy, *Scikit-learn, *SpaCy, *Google Cloud Platform - Big Query/Jupiter Notebooks/MLFlow/Data Proc/Airflow, SQL, Podstawy Linux/Bash, Git
Chcesz rozwijać się w AI w branży bankowej?
Forma współpracy: B2B
Jak pracujemy? zdalnie/hybrydowo/biuro
,[ budujesz modele NLP - deep learning/transformery/large language models za pomocą PyTorch/TensorFlow, tworzysz modele ML/AI - problemy klasyfikacyjne/regresyjne/predykcyjne/detekcja anomalii - od prototypowania do produkcji, zajmujesz się utrzymaniem, monitorowaniem oraz ewaluacją modeli ML w czasie (fabryka modeli),
• *budujesz przepływy danych i ML (SQL/BigQuery/AI/MLFlow/AirFlow), uczestniczysz w innowacyjnych projektach: migracji środowisk analitycznych z on-premise do Google Cloud Platform] Requirements: Python, CI, Machine learning, Machine Learning, AI, NLP, PyTorch, TensorFlow, NumPy, pandas, SciPy, scikit-learn, spaCy, PySpark, Google Cloud Platform, MLflow, Airflow, Azure, Git, SQL, Linux, Bash
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