AIcast تعلن عن وظيفة مهندس ذكاء اصطناعي في منطقة الرياض

Company Description AIcast | الذكاء الاصطناعي equips decision-makers and technical specialists in Saudi Arabia with deep, contextual insight into the evolving AI landscape. The company provides daily updates and analysis through a specialized Saudi lens, aligned with national priorities and regional market dynamics. Its coverage spans foundational AI technologies, data and infrastructure, sector-specific applications, policy and governance implications, and market movements and investments. AIcast operates an integrated content system that includes in-depth analysis, daily news, a weekly newsletter, tool and product reviews, and applied research summaries. Built on the editorial foundation of Cybercast, which reaches over 30,000 specialists and generates more than 500,000 monthly impressions, AIcast benefits from a ready audience and robust editorial infrastructure.

Role Description The Artificial Intelligence Engineer will design, develop, and deploy AI models and systems that support AIcast’s analytical content and technology products. Day-to-day responsibilities include building and optimizing machine learning and deep learning models, implementing natural language processing pipelines, and integrating AI solutions into production-grade software. The engineer will collaborate closely with editorial, product, and data teams to translate domain requirements into technical solutions, ensure model performance and reliability, and maintain scalable codebases and infrastructure. This is a full-time, on-site role located in the Riyadh Region, requiring close coordination with local stakeholders and alignment with Saudi market and policy priorities.

Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
• Proficiency in Neural Networks and Pattern Recognition, with experience training, evaluating, and optimizing models.
• Hands-on experience in Software Development, including building, testing, and deploying production-ready AI systems.
• Practical expertise in Natural Language Processing (NLP), especially applied to Arabic and English text, is highly preferred.
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and familiarity with modern MLOps practices.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Experience working with cloud platforms, data pipelines, and APIs; ability to design scalable, maintainable architectures.
• Strong analytical and communication skills, with the ability to collaborate effectively in cross-functional teams and adapt to a fast-evolving AI ecosystem.