Quento Technologies S.A., the ICT arm of the Qualco Group, delivers AI, Digital Engineering, Cloud, and Cybersecurity solutions and is seeking an AI/GenAI ML Engineer to build and maintain scalable machine learning pipelines and deploy AI models in production. Located in Athens, Greece with a hybrid work model, the role involves designing and operating production-grade ML systems, integrating Large Language Models (LLMs) and Vision Language Models (VLMs) into applications, and developing Retrieval Augmented Generation (RAG) solutions for knowledge-intensive use cases. Responsibilities include building and maintaining data preprocessing, model training, and evaluation pipelines; deploying and monitoring models in production to ensure performance and reliability; designing AI agents for automation and customer support; experimenting with fine-tuning, prompt engineering, and embedding generation; creating clear documentation for models, pipelines, and APIs; participating in code reviews and promoting best practices in AI development; monitoring model performance and driving optimizations; staying up-to-date with the latest AI trends; and ensuring compliance with regulatory requirements, including the Group Anti-Bribery and Corruption Policy. Qualifications include a university degree in Computer Science, Engineering, or a related field; 4+ years of experience developing AI/GenAI solutions and deploying ML models in production environments; solid understanding of traditional ML algorithms; desirable experience with AI services such as Azure OpenAI, Azure AI Search, and Azure Ma

Quento Technologies S.A., the ICT arm of the Qualco Group, delivers AI, Digital Engineering, Cloud, and Cybersecurity solutions and is seeking an AI/GenAI ML Engineer to build and maintain scalable machine learning pipelines and deploy AI models in production. Located in Athens, Greece with a hybrid work model, the role involves designing and operating production-grade ML systems, integrating Large Language Models (LLMs) and Vision Language Models (VLMs) into applications, and developing Retrieval Augmented Generation (RAG) solutions for knowledge-intensive use cases. Responsibilities include building and maintaining data preprocessing, model training, and evaluation pipelines; deploying and monitoring models in production to ensure performance and reliability; designing AI agents for automation and customer support; experimenting with fine-tuning, prompt engineering, and embedding generation; creating clear documentation for models, pipelines, and APIs; participating in code reviews and promoting best practices in AI development; monitoring model performance and driving optimizations; staying up-to-date with the latest AI trends; and ensuring compliance with regulatory requirements, including the Group Anti-Bribery and Corruption Policy. Qualifications include a university degree in Computer Science, Engineering, or a related field; 4+ years of experience developing AI/GenAI solutions and deploying ML models in production environments; solid understanding of traditional ML algorithms; desirable experience with AI services such as Azure OpenAI, Azure AI Search, and Azure Ma