
201 - 500 employees
Founded 1973
🚀 Aerospace
☁️ SaaS
🤝 B2B
Aerospace • SaaS • B2B
Veryon is a provider of intelligent aviation management software that helps aircraft owners, operators, MROs and OEMs increase aircraft uptime. Its cloud-based SaaS platform offers maintenance tracking, inventory and work order management, flight operations, technical publications distribution, defect analysis, reliability management and guided troubleshooting. Veryon integrates via REST APIs, leverages AI/ML for analytics and diagnostics, and emphasizes security and compliance (ISO 27001/9001) for business, commercial and helicopter aviation customers worldwide.
🕒 May 1
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201 - 500 employees
Founded 1973
🚀 Aerospace
☁️ SaaS
🤝 B2B
Aerospace • SaaS • B2B
Veryon is a provider of intelligent aviation management software that helps aircraft owners, operators, MROs and OEMs increase aircraft uptime. Its cloud-based SaaS platform offers maintenance tracking, inventory and work order management, flight operations, technical publications distribution, defect analysis, reliability management and guided troubleshooting. Veryon integrates via REST APIs, leverages AI/ML for analytics and diagnostics, and emphasizes security and compliance (ISO 27001/9001) for business, commercial and helicopter aviation customers worldwide.
• Lead the design, development, and scaling of intelligent systems that enhance aviation maintenance, diagnostics, and operational insights • Focus on advancing AI-driven capabilities across Veryon’s product suite • Work at the intersection of machine learning, aviation data, and distributed systems • Build production-grade AI solutions that combine generative AI, telemetry data, and domain expertise • Mentor team members, influence technical direction, and ensure best practices in building scalable AI systems
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 5+ years of software engineering experience with strong AI/ML focus • Advanced proficiency in Python and building production systems • Experience with NLP, embeddings, and machine learning models • Experience working with both structured and unstructured data • Strong understanding of scalable systems and cloud environments • Proven experience supporting high-concurrency applications • Ability to lead technical initiatives and mentor engineers
• Paid time off • Professional development opportunities
Apply Now🕒 May 1
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