AI Engineer

Company Description ALSHIAKA is a leading Saudi brand specializing in high-quality traditional and contemporary thobes, rooted in Arabic heritage and culture. Originating from Donia Alaswaf in Taif, the company evolved from offering premium men’s fabrics to pioneering ready-made Saudi thobes. ALSHIAKA’s portfolio includes classic thobes that preserve traditional identity, the Re Thobe line for modern, youthful designs, and Zakhrafat for occasion-ready embroidered and culturally inspired styles. The company continues to innovate with its premium ALSHIAKA brand, focusing on superior fabrics, refined details, and precise craftsmanship to serve diverse customer tastes and age groups across Saudi Arabia. Role Description This is a full-time, on-site AI Engineer role based in Jeddah. The AI Engineer will design, develop, and deploy AI models that support product innovation, operations optimization, and customer experience enhancement, with a focus on pattern recognition and data-driven decision-making. Daily responsibilities include building and training machine learning and neural network models, working with natural language processing (NLP) solutions, integrating AI components into existing software systems, and collaborating with cross-functional teams such as product, IT, and marketing. The role also involves evaluating model performance, refining algorithms, maintaining scalable and secure AI pipelines, documenting technical solutions, and staying current with emerging AI technologies relevant to fashion retail and manufacturing. Qualifications • Candidates should possess strong Computer Science fundamentals and hands-on experience in Software Development. • Candidates should possess skills in Pattern Recognition and Neural Networks for building robust machine learning solutions. • Candidates should possess experience with Natural Language Processing (NLP) for text analysis, customer interaction, or internal tools. • Candidates should possess proficiency in programming languages commonly used in AI (such as Python), and familiarity with ML frameworks (such as TensorFlow or PyTorch). • Relevant qualifications include a bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. • Additional beneficial skills include experience with data engineering, cloud platforms, version control, and MLOps practices. • Strong analytical thinking, attention to detail, effective communication, and the ability to collaborate with multidisciplinary teams are essential. • Experience applying AI in retail, e-commerce, or manufacturing environments, especially in fashion or apparel, is a plus. Show more Show less

Candidates should possess strong Computer Science fundamentals and hands-on experience in Software Development. Candidates should possess skills in Pattern Recognition and Neural Networks for building robust machine learning solutions. Candidates should possess experience with Natural Language Processing (NLP) for text analysis, customer interaction, or internal tools. Candidates should possess proficiency in programming languages commonly used in AI (such as Python), and familiarity with ML frameworks (such as TensorFlow or PyTorch). Relevant qualifications include a bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional beneficial skills include experience with data engineering, cloud platforms, version control, and MLOps practices. Strong analytical thinking, attention to detail, effective communication, and the ability to collaborate with multidisciplinary teams are essential. Experience applying AI in retail, e-commerce, or manufacturing environments, especially in fashion or apparel, is a plus.

Design, develop, and deploy AI models that support product innovation, operations optimization, and customer experience enhancement, with a focus on pattern recognition and data-driven decision-making. Build and train machine learning and neural network models. Work with natural language processing (NLP) solutions. Integrate AI components into existing software systems. Collaborate with cross-functional teams such as product, IT, and marketing. Evaluate model performance, refine algorithms, maintain scalable and secure AI pipelines, document technical solutions, and stay current with emerging AI technologies relevant to fashion retail and manufacturing.