ML Engineer job opportunity at Qualco Group.



Date2026-01-19T10:10:06.020Z bot
Qualco Group ML Engineer
Experience: Highly Experienced
Pattern: Full-time
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loacation Athens, Greece
loacation Athens....Greece

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. We are seeking a passionate and experienced ML Engineer who will play a key role in shaping new AI products. Responsibilities: Own, design and lead lifecycle of AI, ML and GenAI models within our new AI product, developing best practices, wireframes and driving innovation in machine learning model development, deployment, and optimization; Partner with the Technical AI/ML lead to define and execute AI/ML technical strategy aligned with product roadmap and business objectives, including GenAI, Cloud and distributed computing technologies; Collaborate with cross-functional teams including software engineers, data scientists, analysts, testers and product managers to deliver integrated AI solutions; Provide technical guidance on MLOps best practices throughout ML lifecycle; Drive the design, development, and deployment of AI, machine learning models and algorithms that will shape our new AI product; Participate in product brainstorming & roadmap, design, prototyping, and development activities with focus on AI-driven features; Assess upcoming and existing frameworks to evaluate applicability and benefits to drive adoption; Document designs, experiments, datasets and operational runbooks for maintainability and auditability; Ensuring 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. Minimum 4+ years of professional experience in machine learning engineering; Proven track record large scale AI/ML projects from conception to production deployment in enterprise environments; Knowledge of machine learning algorithms, GenAI and model evaluation techniques, interpretability; Extensive experience with Python, and modern source code revision control (Git), along with strong programming skills and software engineering fundamentals; Familiarity with CI/CD, Docker/Kubernetes, and modern MLOps practices for model delivery and monitoring; Understanding of Cloud related services and their application to ML workloads. Experience with Azure will be considered a plus; Understanding of relational DBs and ideally NoSQL/datalakes and their applicability within Data and AI applications. Preferred Qualifications: Experience in financial services, fintech, or regulatory compliance environments; Knowledge of Linux systems and command-line tools for ML model deployment; Good verbal and written communication and cooperation skills in both Greek and English.

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