Hybrid Machine Learning Engineer

at humani

• Job title: Machine Learning Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: €3,200 - €3,500 per month
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Docker, Kubernetes, Linux, NoSQL, Python
• Location requirements: Hybrid, Marousi, Greece

About the role

• Machine Learning Engineer developing machine learning models for a leading fintech company in Greece. Collaborating with engineering and data teams to enhance decision-making across the financial ecosystem.

Responsibilities

• 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