- Educational background or foundational experience in building and maintaining web applications, cloud back-ends, or AI models
- Proficiency in developing responsive interfaces that function effectively on mobile devices and low-bandwidth connections
- Understanding of designing secure APIs, databases, and authentication systems with a focus on access control
- Basic experience with machine learning model development, training, and evaluation for specific use cases
- Familiarity with optimizing AI models for embedded targets using quantization, pruning, and efficient architectures
- Experience deploying or benchmarking models on hardware such as ARM boards, edge AI accelerators, or FPGAs
- Knowledge of telemetry data processing, ground-station software, and test automation pipelines
- Background in DevOps practices, including CI/CD, automated testing, and system monitoring
- Knowledge of secure coding standards and data protection regulations, specifically the Nigeria Data Protection Act
- Ability to collaborate effectively across international teams and learn from senior staff
- Understanding of export control rules related to software and technical data
How to Apply
Interested candidates should Apply here.
Why This Job Might Be a Good Fit
This role suits a developer with early full-stack and AI experience who wants to work on aviation and space technology applications rather than standard software products. Because the position covers responsive web apps, edge AI deployment, and telemetry pipelines, it builds specialized engineering skills that transfer across aerospace, embedded systems, and advanced technology companies.
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