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Machine Learning Engineer - Allegro Pay

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MidFull-time
#430943·Dodano wczoraj·1
Źródło: nofluffjobs.com
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Tech Stack / Keywords

PythonMachine learningscikit-learnPyTorchpandasFastAPIFlaskAirflowDagsterSQLDevOpsDecision TreesNeural networks.NETAzureMLGoogle Vertex AIAWS SageMaker

Firma i stanowisko

Allegro Pay is Central Europe’s largest and fastest-growing FinTech focused on purchase financing and payment methods, serving over a dozen million active users. It is part of Allegro, the most popular shopping platform in Poland and a major European e-commerce company.

Wymagania

  • Graduated in Computer Science, Mathematics, or a related technical field.
  • Minimum 2 years experience building ML-driven solutions.
  • Fluent programming in Python and familiarity with ML toolchain libraries including scikit-learn, PyTorch, pandas, FastAPI, and Flask.
  • Experience with AI-assisted programming tools like Opencode, Codex, and Claude.
  • Experience with orchestration tools such as Airflow and Dagster.
  • Strong analytical skills and proficient in SQL.
  • Knowledge and application of DevOps principles.
  • Practical understanding of statistical and machine learning methods, especially decision trees and neural networks.
  • Ability to make independent decisions and take ownership of code.

Obowiązki

  • Develop and maintain a modern MLOps ecosystem to automate building and deploying machine learning models.
  • Design and implement platforms for training predictive models, including classifiers, deep neural networks, and graph models.
  • Deploy models to production and optimize deployment pipelines to enable Data Scientists' self-service.
  • Manage, monitor, and recalibrate production models.
  • Support development of the Feature Store providing predictors for production models.
  • Build connectors with the FinTech AI platform to enable agentic workflows interacting with models and features.

Benefity

  • Flexible working hours with hybrid model (4 days office / 1 day remote) and 30 days occasional remote work.
  • Annual performance bonus up to 10% of gross salary.
  • Modern office facilities including kitchens, bicycle parking, and green terraces.
  • Choice of hardware: 16" or 14" MacBook Pro or Dell with Windows.
  • Cafeteria plan with options for medical, sports, lunch packages, insurance, and purchase vouchers.
  • Employer-paid English language classes related to job.
  • Dedicated training budget, inter-team tourism, hackathons, and internal learning platform.
  • Benefits including sport subscription, private healthcare, lunch card, free coffee, in-house trainings, bike parking, shower, gym, playroom, free beverages, mobile phone, free parking, kindergarten support.
Elastyczne godziny
Karta sportowa
Opieka zdrowotna
Dofinansowanie szkoleń
Kursy językowe
Parking dla rowerów
Prysznic
Napoje w biurze
Telefon
Darmowe przekąski
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