We build hyper-customized ERP solutions for clients spanning over 80+ industries across the MENA Region, supporting SMB's, Multi-Nationals and Government entities. Our cloud based software suite includes HRMS, CRM, Accounting, Supply Chain Management, Logistics, Business Intelligence and more. Experience Level: Entry-Level (0–2 years) About the Role We are looking for a passionate and driven Junior AI Solutions Engineer to join our growing team in Nairobi. This role is ideal for recent graduates or early-career professionals eager to build hands-on experience in artificial intelligence and machine learning. You will work alongside experienced engineers and cross-functional teams to design, develop, and implement AI-powered solutions that address real business challenges. This role offers a strong learning environment with exposure to modern AI tools, frameworks, and real-world applications. Key Responsibilities Assist in designing, developing, and deploying AI/ML models for business use cases Support data preprocessing, feature engineering, and dataset preparation Collaborate with product, engineering, and business teams to understand requirements and translate them into AI-driven solutions Help build and maintain end-to-end AI pipelines, including model training, testing, and deployment Integrate AI models into applications using APIs and microservices Monitor model performance and contribute to optimization and improvements Document processes, models, and workflows for internal use Stay updated with the latest developments in AI, machine learning, and emerging technologies Requirements Education & Background Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field Strong academic foundation in mathematics, statistics, or data science is an advantage Technical Skills Basic to intermediate proficiency in Python (preferred), R, or Java Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Understanding of core ML concepts (supervised/unsupervised learning, model evaluation, etc.) Basic knowledge of data structures, algorithms, and software development principles Exposure to APIs, data pipelines, or cloud platforms (AWS, Azure, or GCP) is a plus Soft Skills Strong problem-solving and analytical thinking skills Good communication and teamwork abilities Willingness to learn and adapt in a fast-paced environment Ability to work with both technical and non-technical stakeholders Preferred Qualifications Internship or project experience in AI, machine learning, or data science Exposure to areas such as NLP, computer vision, or generative AI Familiarity with tools like ChatGPT, Git, Docker, or basic MLOps practices Participation in hackathons, open-source contributions, or research projects What We Offer Opportunity to work on real-world AI projects with business impact Mentorship and continuous learning opportunities Exposure to modern AI tools, frameworks, and technologies A collaborative and innovative team environment Career growth within a fast-growing tech organization