Software Engineer – AI & Machine Learning

Veryon is a leading software and technology company focused on improving efficiency and safety in aviation. The Software Engineer – AI & Machine Learning role involves designing and maintaining software applications that leverage AI technologies to enhance operational intelligence and automate processes.

Responsibilities:

• 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
• Experience developing AI solutions for predictive maintenance, defect analysis, operational intelligence, or industrial automation
• Experience with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, vector databases, embeddings, or semantic search
• Experience working with cloud AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI
• Experience building scalable ML pipelines using MLOps principles
• Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes
• Experience working in Agile/Scrum software development environments
• Strong analytical thinking, troubleshooting, and problem-solving skills
• Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical stakeholders
• Passion for continuous learning and adopting emerging AI technologies to solve real-world business challenges