
51 - 200 employees
Founded 2016
🚘 Automotive
🎖️ Defense
🏥 Healthcare
Automotive • Defense • Healthcare
Gugu Robotics is a pioneering startup based in West Africa, dedicated to harnessing the power of AI, robotics, and drone technology to create innovative solutions for various industries. Founded by visionary engineer Emmy Pencil, the company specializes in designing and building customized robotic systems, drones, and AI-enabled electric vehicles that address critical challenges across sectors such as agriculture, military, medical, and beyond. With a diverse team of experts, Gugu Robotics aims to redefine possibilities in automation and efficient energy solutions to shape the future of technology.
🕒 June 29
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51 - 200 employees
Founded 2016
🚘 Automotive
🎖️ Defense
🏥 Healthcare
Automotive • Defense • Healthcare
Gugu Robotics is a pioneering startup based in West Africa, dedicated to harnessing the power of AI, robotics, and drone technology to create innovative solutions for various industries. Founded by visionary engineer Emmy Pencil, the company specializes in designing and building customized robotic systems, drones, and AI-enabled electric vehicles that address critical challenges across sectors such as agriculture, military, medical, and beyond. With a diverse team of experts, Gugu Robotics aims to redefine possibilities in automation and efficient energy solutions to shape the future of technology.
• Design, build, and deploy production-grade AI systems • Contribute to scalable AI systems and ML pipelines • Collaborate closely with senior engineers, product managers, and cross-functional teams • Deliver independently on well-defined features • Maintain high standards for reliability, performance, and maintainability • Implement machine learning models, inference services, and supporting APIs • Build data ingestion and feature engineering components • Ensure reliability, performance, and stability of AI services in production
• 3–5 years of experience in AI/ML engineering or applied machine learning • Experience building and deploying ML models in production environments • Strong software engineering background (Python or similar) • Familiarity with distributed systems and scalable data processing • Experience contributing to ML pipelines and automated deployment workflows • Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD) • Ability to debug issues across model, application, and infrastructure layers • Strong problem-solving skills and attention to detail • Effective communication skills within technical teams
• Access to specialized training • Early access to emerging cloud capabilities • Advanced engineering resources to support professional growth
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