AI Engineer

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Gugu Robotics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🛍️ eCommerce

Artificial Intelligence • Robotics • eCommerce

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.

📋 Description

• Design, build, and deploy production-grade AI systems that deliver measurable business value • Implement machine learning models, inference services, and supporting APIs • Contribute to the development of training, evaluation, and deployment workflows • Build data ingestion and feature engineering components aligned to defined architecture • Ensure reliability, performance, and stability of AI services in production environments • Collaborate with senior engineers to operationalize research prototypes • Implement evaluation metrics and validation processes • Support rollout and iteration of AI features based on performance data • Work closely with product and engineering teams to implement AI-driven features • Participate in sprint planning, estimation, and technical discussions • Contribute to documentation and shared engineering standards • Communicate progress, blockers, and risks clearly

🎯 Requirements

• 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.

🏖️ Benefits

• Advanced AWS Partnership • Access to specialized training • Early access to emerging cloud capabilities • Advanced engineering resources