Senior AI/GenAI - ML Engineer

With more than 20 years of proven experience, QUALCO Group stands as a leading provider of Fintech solutions and ICT services, delivering analytics-driven, highly scalable enterprise software solutions in over 35 countries. The Group’s end-to-end technology and ICT services address diverse needs across Banking, Financial Services, Government, Utilities, Insurance, Retail, and more.

Quento Technologies, the ICT services arm of QUALCO Group, seeks a highly motivated and experienced Senior 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.
• 5+ years of experience 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 tal