Lamdax develops scalable digital solutions that streamline business processes and help organizations turn data into actionable decisions. Our work sits at the intersection of software, data, and practical business impact, helping organizations use technology to operate more effectively and make better-informed decisions. As a Fresh Graduate AI Engineer, you will contribute to building AI solutions that support real business applications. This role is a strong fit for someone eager to apply academic learning and project experience in a collaborative software environment, working closely with technical teams and stakeholders to help shape practical, data-driven solutions. Responsibilities • Develop and test machine learning models for business applications and insights. • Support deployment and monitoring of AI solutions in production environments. • Document experiments, model performance, and technical findings for team review. • Collaborate with engineers and stakeholders to translate requirements into AI solutions. • Prepare, clean, and analyze datasets for AI model development. Requirements • Fresh graduate with a bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. • Hands-on experience from internships, university projects, or personal projects developing and testing machine learning models. • Working knowledge of Python, SQL, and .NET. • Experience with at least one major AI or machine learning framework such as TensorFlow, PyTorch, scikit-learn, or Hugging Face. • Experience with data cleaning, preprocessing, feature engineering, exploratory analysis, or working with structured business datasets. • Exposure to model deployment or monitoring, APIs, Docker, or cloud services. • Ability to work with software engineers and help translate business needs into practical AI use cases. • Based in Riyadh or elsewhere in Saudi Arabia, or Cairo or elsewhere in Egypt. • Experience turning operational data into business insights is a plus. Originally posted on Himalayas