Artificial Intelligence Developer

About Gloxad Academy

Gloxad Academy is a transformative education and talent development platform focused on bridging the gap between learning and employability across Africa. The company provides cutting-edge training programs combining technology, business, and innovation to prepare job-ready talents for industry needs. With a robust Learning Management System (LMS), Gloxad supports online and cohort-based learning models, enabling academic institutions and professionals to develop scalable, standardized courses. Partnering with governments and organizations, Gloxad delivers workforce development programs and fosters innovation through its upcoming lab for applied research and startup incubation. The company is dedicated to empowering a new generation of skilled professionals to drive sustainable economic growth in Africa.

Role Description

This is a full-time on-site role for an Artificial Intelligence Developer located in Akobo. The developer will design, develop, and maintain AI-driven algorithms, models, and solutions, with a focus on real-world applications. Responsibilities include building and training machine learning models, implementing pattern recognition and natural language processing (NLP) techniques, and collaborating with cross-functional teams to optimize AI systems. The role also involves staying updated on trends in AI research and applying innovative technologies to meet organizational and client needs.

Qualifications

• Strong foundation in Computer Science and Software Development
• Experience with Pattern Recognition and Neural Networks
• Proficiency in Natural Language Processing (NLP) tools and technologies
• Ability to design, implement, and optimize machine learning models
• Knowledge of AI frameworks, libraries, and programming languages (e.g., Python, TensorFlow, PyTorch)
• Strong analytical and problem-solving skills
• Effective communication and teamwork abilities
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field