Machine Learning Engineer

Company Description 808 Technologies is an AI-focused company based in Riyadh and Dubai, building and launching in-house software products across artificial intelligence, commerce, and digital infrastructure. The company’s “Originals” lineup showcases its first wave of proprietary products, giving team members opportunities to work on greenfield initiatives. 808 Technologies also plans to expand through 808 Ventures, partnering with external builders to scale select products. Team members can expect to contribute to high-impact, product-centric work in a fast-moving environment.

Role Description This is a full-time Machine Learning Engineer role in a hybrid model, based in Dubai with flexibility for partial work from home. The Machine Learning Engineer will design, build, and deploy machine learning models for 808 Technologies’ AI and commerce products, including data preprocessing, feature engineering, and model training. Daily work includes experimenting with algorithms and neural network architectures, evaluating performance using statistical methods, and optimizing models for reliability and scalability in production. The role involves close collaboration with product managers, data engineers, and software developers to translate business needs into technical solutions, integrate models into production systems, and monitor them post-deployment. The Machine Learning Engineer will also document workflows, participate in code reviews, and stay current with emerging machine learning research and tools.

Qualifications

• Strong foundation in Computer Science and Algorithms, with the ability to design efficient, scalable solutions.
• Proficiency in Pattern Recognition and Neural Networks for building and refining AI models.
• Solid understanding of Statistics for model evaluation, performance analysis, and data-driven decision-making.
• Experience with modern machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and Python or similar languages.
• Hands-on experience deploying models to production environments, including working with APIs, cloud platforms, and MLOps tools.
• Ability to work effectively in a hybrid setting, collaborating with distributed teams and communicating clearly in English.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related quantitative field.
• Experience in building AI or data-driven commerce products, or work within startups and fast-paced environments, is a plus.