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AI/ML Engineer
Qualco Technology. Design, implement, and maintain ML flows on Qualco ML Studio for the Credit Institution's credit decision engine .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning pipelines, ensuring data quality and compliance within regulated financial environments. Proficient in integrating data from diverse sources and implementing MLOps practices for model monitoring and governance.
Highest-signal resume keywords
Machine Learning EngineeringPython ProgrammingCI/CD PracticesData IntegrationFinancial Services Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning PipelinesData Quality AssuranceModel InterpretabilitySQL ProficiencyMLOps ToolingCloud PlatformsData Lake ArchitectureCredit Risk Use CasesModel DeploymentVersioning Monitoring
Tools & Technologies
Qualco ML StudioGitDockerKubernetesScikit-learnXGBoostLightGBMAPIsAzureData Pipeline Tooling
Industry Keywords
Credit InstitutionRegulated EnvironmentFinTechBankingAnti-Bribery and Corruption PolicyCredit Bureau IntegrationsOpen Banking Data SourcesBehavioural ModelsApplication ScoringCollections Prioritisation
Tech Stack
Tools & technologiesAzureCloudDockerKubernetesPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Design, implement, and maintain ML flows on Qualco ML Studio for the Credit Institution's credit decision engine
- Build data integrations for model inputs from internal sources and external credit bureaus
- Ensure data quality, latency, and reliability standards
- Implement end-to-end ML pipelines across application scoring, limit setting, fraud detection, and behavioural monitoring
- Collaborate with Data Scientists to translate model specifications into production-ready flows
- Collaborate with Product and Engineering to embed model outputs into credit decisioning workflows
- Build and maintain CI/CD pipelines for model deployment, versioning, and monitoring
- Ensure traceability and governance requirements for a regulated financial entity
- Contribute to MLOps practices including model drift monitoring, retraining triggers, performance logging, and audit trails
- Support integration of ML Studio with Qualco's broader AI Suite and non-AI Suite
- Ensure activities comply with credit institution regulatory requirements
- Support continued implementation of the Group Anti-Bribery and Corruption Policy
Requirements
What you’ll need- 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
- Strong Python skills
- Proficiency with ML libraries such as scikit-learn, XGBoost, and 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, including APIs, databases, and third-party bureaus or equivalent
- Understanding of model interpretability and explainability requirements
- Fluency in Greek and English, oral and written
- Experience in financial services, FinTech, banking, or another regulated environment
- Familiarity with credit risk use cases such as application scoring, behavioural models, PD/LGD, or collections prioritisation
- Knowledge of credit bureau integrations, such as Teiresias or equivalent, or open banking data sources
- Experience with cloud platforms, preferably Azure
- Understanding of data lake/data warehouse architecture
- Exposure to Qualco ML Studio or similar low-code/AutoML platforms for financial ML
Benefits
Comp & perks- Competitive compensation
- Meal vouchers
- Annual bonus programs
- Cutting-edge IT equipment
- Mobile phone and data plan
- Modern facilities
- Free coffee and beverages
- Indoor parking
- In-house restaurant
- Private health insurance
- Occupational doctor
- Workplace counselor and nutritionist
- Onsite gym
- Wellness facilities
- Ping pong room
- Career and talent development tools
- Mentoring and coaching
- Personalized annual learning and development plan
- Employee referral bonus
- Regular wellbeing, ESG, and volunteering activities
- Personal and professional growth opportunities