Machine Learning Engineer - Allegro Pay

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MidHybryda·WarszawaFull-time

#470868·Dodano dziś·0

Źródło: Allegro Sp. z o.o.

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Tech Stack / Keywords

Python Airflow Azure MLflow Kubernetes SnowflakeKedroscikit-learn PyTorch SQL

Podsumowanie oferty

Develop the machine learning platform for Allegro Pay, supporting Data Scientists in building models and bringing them to production. The work includes model training, deployment and monitoring, using technologies such as Python, Airflow, Azure, MLflow and Kubernetes.

Wymagania

Degree in Computer Science, Mathematics or another technical field.
At least 2 years of experience building ML-driven solutions.
Fluency in Python and familiarity with MLE toolchain libraries: scikit-learn, PyTorch, Pandas, FastAPI or Flask.
Comfortable and efficient use of AI-assisted programming tools: Opencode, Codex and Claude.
Some experience with Python-based orchestration tools such as Airflow or Dagster.
Good analytical skills and knowledge of SQL.
Knowledge and application of DevOps principles.
Practical understanding of statistical and machine learning methods, especially decision-tree and neural-network algorithms.
Ability to make independent decisions within the scope of responsibilities and take ownership of created code.

Nice to have:

Experience with the .NET ecosystem.
Knowledge of cloud-based MLOps tools: AzureML, Google Vertex AI or AWS Sagemaker.
Experience with the dbt SQL-based data transformation framework.

Obowiązki

Develop an MLOps ecosystem to automate the building and deployment of 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 optimise deployment pipelines to enable Data Scientists’ self-service.
Manage, monitor and recalibrate production models.
Support the Feature Store, an application providing predictors for production models.
Build connectors with the FinTech AI platform so agentic workflows can interact with models and features.

Benefity

Flexible working hours, starting between 7:00 a.m. and 10:00 a.m.
Annual performance- and company-results-based bonus of up to 10% of gross annual salary.
Bicycle parking at the office.
A 16-inch or 14-inch MacBook Pro or equivalent Dell computer with Windows, plus accessories.
Cafeteria-plan benefits, including medical, sports or lunch packages, insurance and purchase vouchers.
Employer-paid English classes related to the nature of the job.
Training budget and an internal learning platform with trainings.
Social events.
An additional day off for volunteering.

Elastyczne godziny

Premie

Parking dla rowerów

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Kursy językowe

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Spotkania integracyjne

Allegro

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