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8 mo agofound 5 h ago
Python Developer – Banking Domain with ML/AI Expertise - Tieto Tech Consulting (m/f/d)
What the posting is about
Design, build, and maintain backend services using Python. Develop data pipelines for ML/AI models. Collaborate with data scientists to deploy models into production. Integrate with banking systems and build secure APIs. Ensure compliance with financial regulations.
Read out of the posting
Levelmid
Experience asked3+ years
EmploymentFull time
LocationWarsaw, Poland
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-02-03
Found viasmartrecruiters, direct from their system
We saw it 8 months after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience level: Mid-Senior Level
Job Description
Python Developer – Banking Domain with ML/AI Expertise
Location: Poland (Tricity / Warsaw / Łódź - 3 days in the office)
Seniority: Mid / Senior
Employment Type: Full-time
About the Role
We are looking for an experienced Python Developer with strong banking domain knowledge and hands-on experience in machine learning / AI solutions .
Key Responsibilities
Design, build, and maintain backend services and tools using Python.
Develop data pipelines for ML/AI models, including feature engineering & 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.
Optimize existing services for scalability and performance.
Write clean, testable, well‑documented code.
Participate in architecture design, code reviews, and troubleshooting.
 
Required Skills & Qualifications
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.
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.
Additional Information
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion (tietoevry.com)
Copied from Tieto’s own board, not rewritten. Original ↗
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