Π­Ρ‚Π° вакансия Π² Π°Ρ€Ρ…ΠΈΠ²Π΅

ΠŸΠΎΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ ΠΏΠΎΡ…ΠΎΠΆΠΈΠ΅ вакансии ↓
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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 1 мСсяц Π½Π°Π·Π°Π΄

Python Developer (Banking, AI/ML)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Poland

ОписаниС вакансии

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TL;DR

Python Developer (Banking/ML/AI): Designing, building, and maintaining backend services and data pipelines for ML/AI models within the banking domain with an accent on secure, high-performance APIs and microservices. Focus on deploying ML/AI models into production, integrating with financial systems, and ensuring compliance with financial regulations.

Location: Hybrid: Poland (Tricity / Warsaw / Łódź - 3 days in the office)

Company

hirify.global is a leading software and digital engineering services company providing mission-critical solutions through specialized software businesses and Tieto Tech Consulting.

What you will do

  • Design, build, and maintain backend services and tools using Python.
  • 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.

Requirements

  • Strong Python proficiency (Flask, FastAPI, Django or similar).
  • Solid experience in banking or financial services (payments, transaction flows, AML/FCP use cases).
  • 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) and CI/CD, DevOps tooling, and test automation.
  • English: B2 required

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

  • Focus on diversity, equity, and inclusion for an inspiring workplace.
  • Commitment to openness, trust, and diversity.
  • Mission to create digital futures that benefit businesses, societies, and humanity.

Hiring process

  • Information about the salary range and the criteria used to determine remuneration will be shared with candidates prior to the interview process and confirmed before an offer is made.