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3 дня назад

Python Developer (Banking/ML/AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Python Developer (Banking/ML/AI): Designing, building, and maintaining backend services and tools with Python, with an accent on developing data pipelines for ML/AI models and integrating with banking systems. Focus on deploying ML/AI models into production, ensuring compliance with financial regulations, and optimizing services for scalability.

Location: Poland (Tricity / Warsaw / Łódź) – 3 days in the office required

Company

hirify.global is a leading software and digital engineering services company with global market reach, providing mission-critical solutions across various industries through specialized software businesses and consulting.

What you will do

  • Design, build, and maintain Python backend services and tools.
  • Develop data pipelines for ML/AI models, including feature engineering and preprocessing.
  • Collaborate with data scientists on deploying ML/AI models into production.
  • Integrate with banking systems, payment platforms, and financial messaging.
  • Build secure, high-performance APIs and microservices.
  • Ensure compliance with financial regulations, security, and data governance standards, and optimize services for scalability.

Requirements

  • Strong Python proficiency (Flask, FastAPI, Django or similar).
  • Solid experience in banking or financial services (payments, transaction flows, AML/FCP use cases, or similar).
  • Understanding of Swift MT/MX, SEPA, ISO20022, or financial messaging frameworks.
  • Experience with ML/AI pipelines, model serving, and MLOps concepts.
  • Knowledge of SQL/NoSQL databases.
  • Familiarity with cloud environments (AWS/Azure/GCP).
  • Experience with CI/CD, DevOps tooling, and test automation.

Nice to have

  • Knowledge of containerization (Docker, Kubernetes).
  • Experience with data governance, model risk management, or AI compliance.
  • Background in event-driven architectures or streaming platforms.

Culture & Benefits

  • Commitment to diversity, equity, and inclusion.
  • Fosters an inspiring workplace that fuels innovation.
  • Values openness, trust, and diversity.
  • Focus on creating digital futures that benefit businesses, societies, and humanity.

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