Sr AI/ML Software Developer

Airbus•Waterloo, ON

1d•Hybrid

About The Position

Skywise is a leading flight operations specialist, operating as a wholly owned subsidiary of Airbus. We provide comprehensive ground and onboard solutions designed to increase productivity for aircraft operators worldwide. We combine deep industry know-how with an agile development culture to drive innovation in operational efficiency and sustainable aviation. Our software development teams are formed around a matrixed organization consisting of Release Trains & Chapters. Team members belong to a Chapter, in which skills, competencies, and standards are owned, solidified, and grown. They are also members of an Agile team where they utilize those skills and competencies to support the Train in the production and delivery of quality software. You’ll be part of a team pioneering AI-driven solutions for commercial aviation customers. As a Senior AI/ML Software Developer, you will enhance core functionality—such as flight scheduling, dispatch and crew management —by integrating, scaling, and deploying machine learning models into production environments.

Requirements

At least seven (7+) years of professional software development experience using any modern backend stack (Python, Java, .NET/C#, Go, etc.), with demonstrated AWS cloud experience
Experience implementing and scaling ML models in production (MLOps), utilizing containerization technologies (Docker, Kubernetes) and serverless architectures.
Proven proficiency in Python and standard ML/scientific computing frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
Experience utilizing AWS ML services such as AWS SageMaker, AWS Bedrock, or comparable MLOps and Generative AI platforms from other cloud providers for model deployment and serving.
Experience leading a team of software developers.
Strong technical communication skills, ability to share concepts to various audiences.
You have a College Diploma or Bachelor's Degree within the software engineering area of study or equivalent professional experience.
Proficiency in English

Nice To Haves

Ideally, holding certification as an AWS Cloud Practitioner, AWS Certified Developer or AWS Certified Machine Learning Specialist or be willing to earn certification within the first year (supported and funded by Skywise ).

Responsibilities

Design, deploy, and manage scalable solutions using Large Language Models (LLMs) and related Generative AI services, specifically integrating platforms like AWS Bedrock and comparable third-party tools into production services.
Independently own and drive the end-to-end Machine Learning lifecycle (MLOps), from model packaging and design documentation to scalable deployment and monitoring in production.
Develop, maintain, and test production-grade software services and APIs that seamlessly integrate with deployed AI/ML models in a cloud environment (AWS).
Establish MLOps best practices and mentor team members on model deployment, A/B testing, drift detection, and monitoring of production ML services.
Lead technical design and implementation of data pipelines (ETL/ELT) to ensure high-quality, reliable, and features-ready data for model training and inference.
Propose and lead initiatives to identify, prototype, and implement new AI/ML opportunities that align with our business goals in commercial aviation.