Software Engineer – AI & Machine Learning

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Veryon

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, develop, and maintain scalable software applications using Python and modern web frameworks such as Django, Flask, or FastAPI. • Develop and enhance machine learning models, clustering algorithms, and NLP solutions for automated defect analysis and pattern recognition. • Build AI-powered diagnostic systems that intelligently classify, categorize, and route operational tickets. • Design, optimize, and maintain SQL databases, queries, and data models that support large-scale analytics and real-time processing. • Develop and maintain RESTful APIs supporting AI-powered applications and enterprise integrations. • Improve clustering logic to reduce manual intervention in defect categorization and operational workflows. • Collaborate with Product Management, QA, Engineering, and Operations teams to translate business requirements into scalable technical solutions. • Research, evaluate, and implement emerging AI, machine learning, and software engineering technologies that improve product capabilities. • Participate in Agile ceremonies including sprint planning, code reviews, retrospectives, and technical design discussions. • Continuously improve application performance, scalability, maintainability, and software quality. • Document technical designs, AI models, engineering standards, and development best practices.

🎯 Requirements

• 4–8+ years of experience in software development using Python and modern web frameworks. • Strong proficiency with SQL, database design, query optimization, indexing, and performance tuning. • Hands-on experience with machine learning frameworks including Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy. • Strong experience developing clustering algorithms including K-Means, DBSCAN, and Hierarchical Clustering. • Experience building Natural Language Processing (NLP) solutions including text classification, entity extraction, sentiment analysis, and language models. • Experience with Generative AI concepts and AI-assisted software development workflows. • Strong understanding of feature engineering, data preprocessing, model validation, and model optimization. • Experience designing, developing, and consuming REST APIs. • Knowledge of data pipeline architecture, ETL processes, and real-time data processing. • Experience working with relational and NoSQL databases supporting analytics workloads. • Familiarity with Git, CI/CD pipelines, automated testing, and modern DevOps practices. • Bachelor's degree in Computer Science, Computer Engineering, Data Science, Machine Learning, Artificial Intelligence, or a related technical field.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development