Python Developer – Banking Domain with ML/AI Expertise - Tieto Tech Consulting (m/f/d)

Tietoevry is hiring a Python Developer – Banking Domain with ML/AI Expertise - Tieto Tech Consulting (m/f/d) in Warsaw, Poland. Level rates it ; you can apply on Tietoevry.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include MLOps.
Level lists 396 other open roles at Tietoevry.

AI in this role

ml-ops

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.

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)

How we rate this

Python Developer – Banking Domain with ML/AI Expertise - Tieto Tech Consulting (m/f/d) at Tietoevry rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Python Developer – Banking Domain with ML/AI Expertise - Tieto Tech Consulting (m/f/d) is an open job at Tietoevry.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Warsaw, Poland.
The job was posted on February 3, 2026.
Applications are handled by Tietoevry. Apply on Tietoevry

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML Ops

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: ML Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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