We're building production AI/ML capabilities into aviation maintenance and operations software used globally by airlines, MROs, and CAMOs. You'll work on real problems with real operational data — predicting component failures, surfacing anomalies in live operations, mining decades of maintenance records, and getting models to run reliably in environments where downtime affects flight schedules. ** ** This is hands-on engineering: model development, data pipelines, deployment, and monitoring. Not advisory, not prompt-tuning a chatbot.** ****About OASES: ** Our Aviation group delivers mission-critical software solutions that empower airlines, airports, and aviation service providers to operate efficiently and safely. From maintenance planning and flight operations to compliance and resource management, our products enable customers to optimize performance, reduce costs, and ensure regulatory compliance. As part of a global network of specialized software companies, our aviation teams operate with entrepreneurial agility while benefiting from shared expertise, innovation, and best practices across the wider Valsoft group. **About Valsoft Corp: ** Established in Canada in 2015, Valsoft has grown to a global portfolio of 120+ companies, acquiring and developing vertical market software companies, enabling each business to deliver the best mission-critical solutions for customers in their respective industries. A key tenet of Valsoft’s philosophy is to invest in well-established businesses and foster an entrepreneurial environment that moulds companies into leaders in their respective industries. Valsoft looks to buy, hold, and create value through long-term partnerships with existing management.

• Develop actionable insights and recommendations in support of business objectives using in-house and external data sources • Collaborate with business and data engineering professionals for timely and reliable delivery of data solutions • Leverage deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management • Drive efficiencies and improve customer experience • Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery • Present findings and recommendations clearly to both technical and non-technical audiences • Source, validate, and integrate structured and unstructured data across platforms • Conduct exploratory data analysis to reveal data quality issues and identify opportunities • Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods • Design, build, and deploy machine learning / deep learning models — including NLP, computer vision, and LLM-based solutions • Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization • Own and maintain recurring analytical, reporting, and model-monitoring processes • Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams

• Design and build AI/ML prototypes for defence use cases • Implement models using frameworks like PyTorch, TensorFlow, scikit-learn • Develop scalable backend systems and APIs • Work with distributed architectures, cloud, and containerised environments • Build demonstrators and validate them against operational scenarios • Contribute to architecture, research, and technical reporting

• Define AI/ML use cases for ballistic missile defence systems • Lead feasibility studies on advanced AI approaches including deep learning and LLMs • Design AI strategy and data architecture frameworks • Translate complex AI concepts into actionable decisions for defence stakeholders • Work directly with NATO programme teams and operational users • Shape responsible AI frameworks aligned with NATO standards • Act as the intellectual and strategic lead of the AI direction