Design, develop, and maintain machine learning models and AI-driven solutions supporting next-generation fintech products.
Collaborate with software engineers, data scientists, analysts, and product teams to integrate machine learning capabilities into production systems.
Contribute to ML pipelines covering data preparation, model training, evaluation, and inference workflows.
Support deployment and monitoring of machine learning models using modern MLOps practices.
Participate in product design discussions, experimentation, and prototyping, focusing on AI-powered features.
Evaluate emerging machine learning and generative AI frameworks to assess their potential applicability in production.
Document models, experiments, datasets, and operational processes to ensure maintainability, transparency, and auditability.
Contribute to best practices in machine learning lifecycle management, supporting reliable model deployment and continuous improvement.

Requirements

4–6 years of experience in machine learning engineering or applied data science roles on algorithmic product design.
Hands-on experience developing and deploying machine learning models in production environments.
Strong programming skills in Python, with experience using version control systems such as Git.
Solid understanding of machine learning algorithms, model evaluation techniques, and interpretability concepts.
Exposure to Generative AI frameworks or modern ML ecosystems is a plus.
Familiarity with CI/CD pipelines, Docker, Kubernetes, and modern MLOps practices.
Understanding of cloud services and ML workloads, with Azure experience considered a plus.
Knowledge of relational databases, and ideally exposure to NoSQL or data lake systems used in AI applications.
Nice Additions
Experience in financial services, fintech, or regulatory compliance environments is an advantage.
Familiarity with Linux systems and command-line tools for ML model deployment and experimentation.
Strong collaboration and communication skills in English; Greek is considered an advantage.

Benefits

Competitive salary package 3200 - 3500 gross euros monthly
Meal benefits: Ticket restaurant (120 euros x 12) and annual bonus programs.
Private health insurance and onsite occupational doctor
Cutting-edge IT equipment, mobile, and data plan.
Modern facilities, free coffee, beverages, and indoor parking.
Onsite gym, wellness facilities, and ping pong room.
Flexible work arrangements currently on 50% - 50% ratio working from home

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI-driven solutionsML pipelinesmodel trainingmodel evaluationmodel inferenceprogramming in Pythonmachine learning algorithmsmodel interpretabilityCI/CD pipelines

Soft Skills

collaborationcommunicationproduct designexperimentationprototypingdocumentationbest practicescontinuous improvement