Description du poste
Position: Machine Learning Engineer Company: Microsoft Rwanda Location: Bugesera, Rwanda Experience: 3-5 years Education: Bachelor’s degree in Computer Science, Data Science, or related field Employment Type: Full-time Industry: Artificial Intelligence Department: Research & Development Salary: SSP 1,500,000 – 2,500,000 per annum Vacancies: 1 Company Overview Microsoft Rwanda is a leading global technology company dedicated to empowering every person and organization on the planet. With a strong commitment to innovation, sustainability, and inclusive growth, Microsoft Rwanda drives digital transformation across the nation. The company collaborates with local enterprises, government agencies, and educational institutions to foster a thriving ecosystem of technology and talent. As part of its mission to accelerate AI adoption, Microsoft Rwanda invests heavily in research, development, and community outreach, creating a vibrant environment for professionals seeking career opportunities in Rwanda. This role contributes directly to the company’s vision of building responsible AI solutions that address real‑world challenges, making it an exciting prospect for candidates passionate about Rwanda Jobs and the future of technology. Job Overview The Machine Learning Engineer will join the Research & Development team to design, develop, and deploy advanced machine learning models that power Microsoft’s AI services in the region. You will work closely with data scientists, software engineers, and product managers to translate business requirements into scalable AI solutions. This position offers a unique chance to influence the AI strategy for emerging markets, collaborate on cutting‑edge projects, and contribute to the broader goal of creating inclusive AI for all. For more information, visit Microsoft Careers . The role is central to Microsoft’s commitment to hiring in Rwanda and expanding its AI footprint, aligning with the growing demand for Jobs in Rwanda. Key Responsibilities Design, implement, and optimize machine learning algorithms for natural language processing, computer vision, and predictive analytics. Collaborate with cross‑functional teams to integrate AI models into Microsoft cloud services and enterprise solutions. Conduct data preprocessing, feature engineering, and model validation to ensure high performance and reliability. Monitor model performance i...