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Job Description:

Skywise is a leading digital services company, wholly owned by Airbus. We deliver a first-of-its-kind offer that seamlessly integrates Planning & Operations Control, Flight, Technical, and Ground Operations. By providing interoperable digital solutions for end-to-end operations, Skywise combines aircraft manufacturer expertise and digital know-how to transform operational complexity into predictable and profitable performance, ensuring resilient and more sustainable operations.

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.

Main 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.

Experience and education:

• 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.

• 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 ).

• You have a College Diploma or Bachelor's Degree within the software engineering area of study or equivalent professional experience.

• Proficiency in English

What we Offer:

Located in the heart of University of Waterloo's David Johnston Research + Technology Park, Skywise is close to shops, restaurants, gyms, daycare, and many other amenities, and only 10 minutes away from Hwy 85. As part of our family, you will enjoy:

• Being part of Airbus Network

• Flexible hours

• Hybrid working environment (3 days in office)

• Free parking

• Vacation Days (15 - 25)

• Professional Development Day

• Christmas shut down

• Summer core hours

• Strong work-life balance

• Casual dress code

• Competitive group benefits plan

• Strong focus on mental health support benefits

• Sick and Personal days

• RRSP matching program

• Life Insurance

• Access to Employee Share Scheme

• Maternity & Paternity benefits

• Referral program

• Rewards and Recognition program

• Training and Development Support

• Monthly Lunch and Learns

• Fitness & Wellness reimbursement

• An active social committee

• Organized Volunteer Events

• Game room, including a flight simulator!

• Active Inclusion & Diversity Committee

• And much more

AI Disclosure: No artificial intelligence tools are used to screen, assess, or select candidates for this role

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.

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By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported toemsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.