AI / ML Engineer – Credit Decision Engine

About the role

Qualco, the technology arm of Qualco Group, is building its Credit Institution (CI), a non-bank lending entity in Greece currently in the licensing process with the Bank of Greece, targeting launch in H1 2027. The AI/ML Engineer is a core builder of the credit decision engine that powers this new entity, working directly on Qualco ML Studio. This is a hands-on engineering role at the intersection of ML platform development, financial data integration and credit decisioning.

Key responsibilities

• Design, implement and maintain ML flows on Qualco ML Studio powering the CI's credit decision engine, from data ingestion through feature engineering to model scoring and decision output.
• Build and own data integrations for model inputs from internal sources (application database, D3E data layer) and external bureaus (Teiresias credit bureau), meeting data quality, latency and reliability standards.
• Implement end-to-end ML pipelines using ML Studio's Workflow Canvas and AutoML across credit risk use cases: application scoring, limit setting, fraud detection and behavioral monitoring.
• Collaborate with Data Scientists to turn model specifications into production flows and with Product and Engineering to embed model outputs into the credit decisioning workflow.
• Build and maintain CI/CD pipelines for model deployment, versioning and monitoring, with traceability and governance for a regulated entity.
• Contribute to MLOps best practices: model drift monitoring, retraining triggers, performance logging and audit trails required by the Bank of Greece framework.
• Integrate ML Studio with the broader AI Suite and non-AI Suite, and ensure full compliance with Credit Institution regulatory requirements and the Group Anti-Bribery and Corruption Policy.

Required profile

• 4+ years of professional experience in ML engineering or a closely related Data Engineering role.
• Proven track record building and deploying ML pipelines in production, not just prototyping.
• Hands-on experience integrating data from APIs, databases and third-party bureaus.
• Understanding of model interpretability and explainability in a regulated credit context.
• Fluency in Greek and English, oral and written.

Required skills

• Strong Python; scikit-learn, XGBoost, LightGBM or equivalent.
• Familiarity with SQL and data pipeline tooling.
• CI/CD, Git, Docker/Kubernetes and MLOps tooling.
• Nice to have: financial services or regulated environment experience, credit risk use cases, cloud platforms (Azure preferred), data lake/warehouse architecture, and Qualco ML Studio.

What we offer

• Competitive compensation, meal vouchers and annual bonus programs.
• IT equipment, mobile phone and data plan.
• Modern facilities, free coffee and drinks, indoor parking and in-house restaurant.
• Private health insurance, occupational doctor, workplace counselor and nutritionist.
• Onsite gym, wellness facilities and ping pong room.
• Career and talent development, mentoring, coaching and a personalized learning plan.
• Employee referral bonus, wellbeing, ESG and volunteering activities.