Qualco Group

Tech-driven credit management and lending

AI/GenAI – ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeAthens, Greece

About the Job

Requirements

A university degree in Computer Science, Engineering, or a relevant discipline is required.
At least 3 years of experience developing AI/GenAI solutions and deploying machine learning models in production environments is required.
A strong understanding of traditional machine learning algorithms and techniques, including linear regression, logistic regression, decision trees, support vector machines, and clustering, is required.
Proficiency in programming languages such as Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch are required.
Experience with natural language processing and computer vision techniques is required.
Experience building and deploying AI agents is required.
Experience building and deploying application programming interfaces is required.
A relevant certification is required, such as Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or AWS Certified Machine Learning – Specialty.
A proactive and self-motivated approach to work, attention to detail, and commitment to quality are required.
The ability to work effectively in a fast-paced, collaborative, international, and multicultural environment is required.
Excellent written and verbal communication skills and excellent knowledge of English are required.
A strong desire to learn is required.
Willingness to work in an international and multicultural environment is required.

Responsibilities

Build and maintain scalable, efficient machine learning pipelines for data preprocessing, model training, and evaluation.
Deploy and monitor machine learning models in production environments to ensure high performance and reliability.
Integrate large language models and vision language models into existing applications to enhance functionality and create AI-enabled features.
Develop and implement retrieval-augmented generation systems for knowledge-intensive applications.
Design and build large-language-model-based AI agents for automation, customer support, and other interactive applications.
Experiment with and evaluate large language model techniques, including fine-tuning, prompt engineering, and embedding generation.
Develop and maintain documentation for models, pipelines, and application programming interfaces.
Participate in code reviews and contribute to AI development best practices.
Monitor and analyze model performance in production and identify opportunities for improvement and optimization.
Research and stay current with AI developments.
Mentor and guide junior AI engineers in cloud and AI technologies across Azure, AWS, and Google Cloud Platform.
Ensure activities comply with regulatory requirements and support the continued implementation of the Group Anti-Bribery and Corruption Policy.

Desired Qualifications

Experience with Azure OpenAI, Azure AI Search, and Azure Machine Learning for building and deploying intelligent applications is highly desirable.
Microsoft Certified: Azure Data Engineer Associate is a nice-to-have certification.
Certified Data Science Practitioner is a nice-to-have certification.

AI/GenAI - ML Engineer

Qualco Group · Athens, Greece (Hybrid) · — · Posted 2026-10-29

Workplace: hybrid

Department: AI - Data Management

Description

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

Quento Technologies seeks a highly motivated and experienced AI/GenAI - ML Engineer for build and maintain scalable and efficient machine learning pipelines. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage.

Your responsibilities will entail:

Build and maintain scalable and efficient machine learning pipelines for data preprocessing, model training, and evaluation.
Deploy and monitor machine learning models in production environments, ensuring high performance and reliability.
Integrate Large Language Models (LLMs) and Vision Language Models (VLMs) into existing applications to enhance functionality and create new AI-enhanced features.
Develop and implement Retrieval Augmented Generation (RAG) systems for knowledge-intensive applications.
Design and build LLM-based AI agents for automation, customer support, and other interactive applications.
Experiment with and evaluate different LLM techniques, including fine-tuning, prompt engineering, and embedding generation.
Develop and maintain clear and concise documentation for models, pipelines, and APIs.
Participate in code reviews and contribute to best practices for AI development.
Monitor and analyze model performance in production, identifying areas for improvement and optimization.
research and stay up to date on the newest AI trends.
Mentor and guide junior AI engineers in cloud (Azure, AWS, GCP) AI-specific technologies, fostering a culture of continuous learning.
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.

Requirements

University degree in Computer Science, Engineering, or a relevant discipline.
3+ years of experience in developing AI/GenAI solutions and deploying machine learning models in production environments.
Strong understanding of traditional machine learning algorithms and techniques (e.g., linear regression, logistic regression, decision trees, support vector machines, clustering).
Experience with AI services, including Azure OpenAI, Azure AI Search, and Azure Machine Learning, for building and deploying intelligent applications is highly desirable.
Proficiency in programming languages such as Python, and experience with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.
Experience with natural language processing (NLP) and computer vision (CV) techniques.
Experience with building and deploying AI agents.
Experience with building and deploying API's.
A proactive and self-motivated approach to work.
A strong attention to detail and a commitment to quality.
Ability to work effectively in a fast-paced and collaborative environment.
A strong desire to learn.
Excellent written and verbal communication skills.
Experience and willingness to work in an international/multicultural environment.
Excellent knowledge of English language (written and verbal).

Additional Qualification, Knowledge and Skills

Must have a relevant certification, such as
Microsoft Certified: Azure AI Engineer Associate
Google Cloud Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty
Nice to have:
Microsoft Certified: Azure Data Engineer Associate
Certified Data Science Practitioner

Benefits

Your Life @ Qualco
On top of challenging work environment, we are offering:

💸 Competitive compensation, ticket restaurant card, and annual bonus programs
💻 Cutting-edge IT equipment, mobile and data plan
🏢 Modern facilities, free coffee and beverages, indoor parking, and company bus
👨‍⚕ Private health insurance, onsite occupational doctor, and workplace counselor
🏝️ Flexible working model, hybrid benefits & home equipment benefits
🤸‍♂️ 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

Your race, gender identity and expression, age ethnicity or disability make no difference in Quento We want to attract, develop, promote, and retain the best people based only on their ability and behavior.

Disclaimer: Quento 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, before the submission of your application.

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About the Company

Qualco Group

Tech-driven credit management and lending

Qualco Group provides software-based solutions for managing the full credit lifecycle for banks and other financial institutions. Its technology automates and coordinates activities from loan origination and underwriting through servicing, debt collection, asset management, and reporting. The core product set hinges on proprietary technology designed to streamline credit processes, improve oversight, and ensure IFRS-compliant financial reporting across the lending lifecycle. The company differentiates itself through long experience (25+ years), a scalable platform used by a global client base, a track record of developing in-house technology, and strategic growth backed by investors like PIMCO to enter new markets and broaden its product offerings. Its goal is to grow beyond credit management into broader lending solutions, expand into new markets, and continue delivering end-to-end, technology-driven services for financial institutions.

Company size: 501-1,000
Company stage: IPO
Headquarters: Athens, Greece
Founded: 1998

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