Machine Learning Engineer - Allegro Pay

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MidFull-time
#370359·Dodano 18 dni temu·1
Źródło: nofluffjobs.com
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Tech Stack / Keywords

DegreePythonscikit-learnPyTorchpandasFastAPIFlaskAIAirflowAnalytical skillsDevOps.NETMLOpsAWS SageMakerdbt

Firma i stanowisko

Allegro Pay is Central Europe’s largest and fastest-growing FinTech, part of Allegro, the most popular shopping platform in Poland and one of the largest e-commerce companies in Europe. The role supports a product with over a dozen million active users, focusing on purchase financing and payment methods.

Wymagania

  • Degree in Computer Science, Mathematics, or another technical major.
  • At least 2 years of experience building ML-driven solutions.
  • Proficient in Python and libraries such as scikit-learn, PyTorch, Pandas, FastAPI, and Flask.
  • Experience with AI-assisted programming tools (Opencode, Codex, Claude).
  • Experience with Python-based orchestration tools like Airflow or Dagster.
  • Good analytical skills and knowledge of SQL.
  • Understanding 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.

Nice-to-have:

  • Experience with the .NET ecosystem.
  • Knowledge of cloud-based MLOps tools such as AzureML, Google Vertex AI, AWS SageMaker.
  • Experience with SQL-based data transformation frameworks like dbt.

Obowiązki

  • Develop a modern MLOps ecosystem to automate building and deploying machine learning models.
  • Design and implement a platform 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 models deployed to production.
  • Support work on 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 in a hybrid model (4 days office, 1 day remote) with start times between 7:00 a.m. and 10:00 a.m.
  • 30 days of occasional remote work.
  • Annual bonus up to 10% of gross salary based on performance.
  • Well-equipped offices with kitchens, bicycle parking, terraces, ergonomic furniture, and interactive conference rooms.
  • Choice of MacBook Pro or Dell Windows laptop with accessories.
  • Cafeteria plan with medical, sports, lunch packages, insurance, and purchase vouchers.
  • Employer-paid English classes related to the job.
  • Training budget, inter-team tourism, hackathons, and internal learning platform.
  • Additional day off for volunteering.
  • Social events including Spin Kilometers, Family Day, Fat Thursday, Advent of Code.
  • Sport subscription, private healthcare, free coffee, canteen, bike parking, playroom, free beverages, shower, mobile phone, in-house trainings, modern office, no dress code.
Elastyczne godziny
Premie
Parking dla rowerów
Karta sportowa
Opieka zdrowotna
Firmowa stołówka
Napoje w biurze
Darmowe przekąski
Prysznic
Telefon
Szkolenia wewnętrzne
Kursy językowe
Dofinansowanie szkoleń
Spotkania integracyjne
Allegro

Allegro

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