AI / ML Engineer

• 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), ensuring data quality, latency and reliability standards are met; • Implement end-to-end ML pipelines using ML Studio's Workflow Canvas and AutoML capabilities across credit risk use cases: application scoring, limit setting, fraud detection and behavioral monitoring; • Collaborate with Data Scientists to translate model specifications into production-ready 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, ensuring traceability and governance requirements for a regulated financial entity are met; • Contribute to MLOps best practices: model drift monitoring, retraining triggers, performance logging and audit trails required by the Bank of Greece regulatory framework; • Support integration of ML Studio with Qualco's broader AI Suite (Data Studio → ML Studio → Agentic Studio) & non-AI Suite to ensure a coherent data-to-decision flow; • Ensure all activities are carried out in full compliance with Credit institution regulatory requirements; and • Ensure that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy. • 4+ years of professional experience in ML engineering or a closely related Data Engineering role; • Proven track record building and deploying ML pipelines in prod — not just prototyping; • Strong Python skills; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM or equivalent); familiarity with SQL and data pipeline tooling; • Experience with CI/CD practices, Git, Docker/Kubernetes and MLOps tooling for model delivery and monitoring; • Hands-on experience integrating data from multiple sources (APIs, databases, third-party bureaus or equivalent), having built the plumbing, not just the models; • Understanding of model interpretability and explainability requirements — essential for a regulated credit context; • Fluency in Greek and English oral and written.

• 4+ years of professional experience in ML engineering or a closely related Data Engineering role; • Proven track record building and deploying ML pipelines in prod — not just prototyping; • Strong Python skills; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM or equivalent); familiarity with SQL and data pipeline tooling; • Experience with CI/CD practices, Git, Docker/Kubernetes and MLOps tooling for model delivery and monitoring; • Hands-on experience integrating data from multiple sources (APIs, databases, third-party bureaus or equivalent), having built the plumbing, not just the models; • Understanding of model interpretability and explainability requirements — essential for a regulated credit context; • Fluency in Greek and English oral and written. Nice to Have: • Experience in financial services, Fin/Tech, banking, or any regulated environment where model governance and audit trails are non-negotiable; • Familiarity with credit risk use cases: application scoring, behavioural models, PD/LGD, or collections prioritisation; • Knowledge of credit bureau integrations (Teiresias or equivalent) or open banking data sources; • Experience with cloud platforms (Azure preferred) and understanding of data lake / data warehouse architecture; • Exposure to Qualco ML Studio or similar low-code/AutoML platforms for financial ML.

Your Life @ Qualco Group As a #Qmember, you'll embody our values every day, fostering a culture of teamwork & integrity, passion for results, quality & excellence, client focus, and agility & innovation. Within a truly human-centred environment built on mutual respect and trust, your dedication to our shared vision will not only be recognized but also celebrated, offering boundless opportunities for your personal and professional growth. Find out more about #LifeatQualcoGroup 👉🏼 qualco.group/life_at_qualco_group Join the #Qteam and enjoy: 💸 Competitive compensation, Meal vouchers, and annual bonus programs.  💻 Cutting-edge IT equipment, mobile phone, and data plan.  🏢 Modern facilities, free coffee, beverages, 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 tools.  🎓 Mentoring, coaching, personalized annual learning, and development plan.  🌱 Employee referral bonus, regular wellbeing, ESG, and volunteering activities.  At Qualco Group we value diversity and inclusivity. Your race, gender identity and expression, age ethnicity or disability make no difference in Qualco. We want to attract, develop, promote, and retain the best people based only on their ability and behavior. Application Note: All CVs and application materials should be submitted in English. Disclaimer: Qualco Group collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any third parties. For more details on the processing of your personal data during the Recruitment procedure, please be informed in the Recruitment Notice - QUALCO Group, before the submission of your application.

We are QUALCO, the technology arm of Qualco Group, with over 25 years of experience in delivering innovative solutions to the financial sector. We serve clients in over 30 countries, helping banks and other financial institutions manage credit and loans effectively while ensuring full regulatory compliance. Our advanced software leverages analytics, artificial intelligence, and digital technologies to support every stage of the credit and lending lifecycle, remaining at the forefront of fintech innovation. Qualco is building its Credit Institution (CI), a first-of-its-kind 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 will be 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, building the flows that turn data into credit decisions at scale. 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), ensuring data quality, latency and reliability standards are met; • Implement end-to-end ML pipelines using ML Studio's Workflow Canvas and AutoML capabilities across credit risk use cases: application scoring, limit setting, fraud detection and behavioral monitoring; • Collaborate with Data Scientists to translate model specifications into production-ready 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, ensuring traceability and governance requirements for a regulated financial entity are met; • Contribute to MLOps best practices: model drift monitoring, retraining triggers, performance logging and audit trails required by the Bank of Greece regulatory framework; • Support integration of ML Studio with Qualco's broader AI Suite (Data Studio → ML Studio → Agentic Studio) & non-AI Suite to ensure a coherent data-to-decision flow; • Ensure all activities are carried out in full compliance with Credit institution regulatory requirements; and • Ensure that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy. • 4+ years of professional experience in ML engineering or a closely related Data Engineering role; • Proven track record building and deploying ML pipelines in prod — not just prototyping; • Strong Python skills; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM or equivalent); familiarity with SQL and data pipeline tooling; • Experience with CI/CD practices, Git, Docker/Kubernetes and MLOps tooling for model delivery and monitoring; • Hands-on experience integrating data from multiple sources (APIs, databases, third-party bureaus or equivalent), having built the plumbing, not just the models; • Understanding of model interpretability and explainability requirements — essential for a regulated credit context; • Fluency in Greek and English oral and written. Nice to Have: • Experience in financial services, Fin/Tech, banking, or any regulated environment where model governance and audit trails are non-negotiable; • Familiarity with credit risk use cases: application scoring, behavioural models, PD/LGD, or collections prioritisation; • Knowledge of credit bureau integrations (Teiresias or equivalent) or open banking data sources; • Experience with cloud platforms (Azure preferred) and understanding of data lake / data warehouse architecture; • Exposure to Qualco ML Studio or similar low-code/AutoML platforms for financial ML. Your Life @ Qualco Group As a #Qmember, you'll embody our values every day, fostering a culture of teamwork & integrity, passion for results, quality & excellence, client focus, and agility & innovation. Within a truly human-centred environment built on mutual respect and trust, your dedication to our shared vision will not only be recognized but also celebrated, offering boundless opportunities for your personal and professional growth. Find out more about #LifeatQualcoGroup 👉🏼 qualco.group/life_at_qualco_group Join the #Qteam and enjoy: 💸 Competitive compensation, Meal vouchers, and annual bonus programs.  💻 Cutting-edge IT equipment, mobile phone, and data plan.  🏢 Modern facilities, free coffee, beverages, 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 tools.  🎓 Mentoring, coaching, personalized annual learning, and development plan.  🌱 Employee referral bonus, regular wellbeing, ESG, and volunteering activities.  At Qualco Group we value diversity and inclusivity. Your race, gender identity and expression, age ethnicity or disability make no difference in Qualco. We want to attract, develop, promote, and retain the best people based only on their ability and behavior. Application Note: All CVs and application materials should be submitted in English. Disclaimer: Qualco Group collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any third parties. For more details on the processing of your personal data during the Recruitment procedure, please be informed in the Recruitment Notice - QUALCO Group, before t