Artificial Intelligence Engineer

Company Description NEX Solutions, the technology company of Al Sharqi Holding in Doha, delivers both technology consulting and end-to-end product builds, staying involved through commissioning, training, and support. The company models clients’ real-world operations to identify value leaks such as downtime, energy loss, and blind spots, then designs and implements ranked fixes. NEX Solutions builds advanced facilities and security command centers, AI and automation solutions, and digital enterprise platforms, all with security by design on hardened, client-controlled infrastructure. Its leadership brings experience from automotive digital twins, robotics, and national energy command-and-control centers, applying rigorous engineering discipline across projects in the Gulf. The company tests solutions within its own operating businesses before releasing them to the broader market, ensuring practical, data-driven results. Role Description The Artificial Intelligence Engineer will design, develop, and deploy AI models and systems that support NEX Solutions’ offerings in computer vision, predictive maintenance, and plain-language assistants. Day-to-day responsibilities include building and training machine learning and neural network models, implementing pattern recognition and NLP pipelines, and integrating AI components into production-grade software systems. The engineer will collaborate with cross-functional teams to translate operational models and diagnostic insights into practical AI solutions, optimize system performance, and ensure reliability within secure, on-premise environments. This is a contract, on-site role based in Doha, Qatar, working closely with engineers and stakeholders to support real facilities, fleets, and enterprise platforms. Qualifications • Strong foundation in Computer Science, with experience in Software Development for production-grade systems. • Proficiency in Neural Networks and Pattern Recognition for building and optimizing machine learning models. • Hands-on experience with Natural Language Processing (NLP) and related AI frameworks and libraries. • Demonstrated ability to design, train, evaluate, and deploy AI models, including experience with Python and common ML/AI toolchains (e.g., TensorFlow, PyTorch, scikit-learn). • Experience integrating AI solutions into secure, on-premise or edge environments, and working with data pipelines and APIs. • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. • Strong analytical skills, attention to detail, and ability to work collaboratively in multidisciplinary engineering teams. • Experience in industrial, facilities, or security-focused AI applications in the Gulf region or similar contexts is a plus.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. Strong foundation in Computer Science with experience in Software Development for production-grade systems. Proficiency in Neural Networks and Pattern Recognition for building and optimizing machine learning models. Hands-on experience with Natural Language Processing (NLP) and related AI frameworks and libraries. Demonstrated ability to design, train, evaluate, and deploy AI models, including experience with Python and common ML/AI toolchains (e.g., TensorFlow, PyTorch, scikit-learn). Experience integrating AI solutions into secure, on-premise or edge environments, and working with data pipelines and APIs. Strong analytical skills, attention to detail, and ability to work collaboratively in multidisciplinary engineering teams.

Design, develop, and deploy AI models and systems that support computer vision, predictive maintenance, and plain-language assistants. Build and train machine learning and neural network models; implement pattern recognition and NLP pipelines; integrate AI components into production-grade software systems. Collaborate with cross-functional teams to translate operational models and diagnostic insights into practical AI solutions; optimize system performance; ensure reliability within secure, on-premise environments.