Senior AI/GenAI

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.

• University degree in Computer Science, Engineering, or a relevant discipline.
• 5+ 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

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.