Machine Learning Engineer - Allegro Pay
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MidFull-time
#370359·Dodano 20 dni temu·1
Źródło: nofluffjobs.comTech 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
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