HOW TO THRIVE IN THIS ROLE? SKILLS, KNOWLEDGE & EXPERIENCE:

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.
• 5+ years of professional experience in machine learning and deep learning.
• Demonstrated experience building and deploying AI agents and agentic workflows.
• Hands-on experience with large language models (LLMs) and generative AI technologies.
• You are autonomous, innovative and dynamic.
• Prior experience with Microsoft Semantic Kernel or similar tools is a strong asset.
• Proficiency in Python and relevant ML/DL frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Deep understanding of LLMs and their optimization for enterprise use cases
• Working knowledge of ontologies, knowledge graphs, and semantic technologies.
• Familiarity with cloud-based AI tools, particularly within the Microsoft Azure ecosystem.
• Strong analytical and problem-solving skills with attention to detail.
• Demonstrated passion for staying ahead of industry trends and bringing fresh ideas to complex problems.
• A keen interest in advancing the state of the art in generative AI and AI agent development.

NOW THAT YOU CAN SEE YOURSELF IN THIS ROLE, APPLY AND JOIN THE BOMBARDIER TEAM!

Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
Job Data Engineer, Digital & Artificial Intelligence Department
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift Day job
Employee Status Regular
Requisition 8126 Data Engineer, Digital & Artificial Intelligence Departmen