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AI Software Engineer

  • Dorval, QC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

When applicable, Bombardier promotes flexible and hybrid work policies.

Why join us?

At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.

Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.

Bombardier’s Benefits Program

With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

  • Insurance plans (Dental, medical, life insurance, disability, and more)
  • Competitive base salary
  • Retirement savings plan
  • Employee Assistance Program
  • Tele Health Program


What are your contributions to the team?

  • Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and ML.
  • Design, develop and maintain modern applications and AI/ML models using Python, React and related frameworks.
  • Automate data extraction, transformation, and loading processes for AI/ML pipelines.
  • Deploy and integrate new and existing AI models into enterprise systems, including SAP S/4HANA.
  • Ensure performance, scalability and responsiveness of AI-powered applications to drive measurable business value.
  • Contribute to model lifecycle management, including monitoring, evaluation and continuous improvement.
  • Maintain clean, modular and well-documented code following best practices.
  • Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
  • Stay current on advancements in AI/ML and Software Engineering to proactively introduce relevant innovations to the organization.


How to thrive in this role?

  • More than 2+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning, with a strong track record of developing, training, and deploying production-grade AI solutions.
  • Bachelor's or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.
  • Strong proficiency in Python, SQL, React, JavaScript/TypeScript, PySpark, REST APIs and full-stack integration.
  • Solid understanding and hands-on experience in developing and deploying ML/DL models, including Computer Vision, Natural Language Processing (NLP), Time Series Forecasting, Predictive Analytics and Image Recognition solutions.
  • Proven experience with cloud platforms, with preference to Microsoft Azure, particularly tools like Azure Databricks, AML, AI Foundry, App Services, AKS, Blob Storage, etc.
  • Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
  • Knowledge of scripting in Linux or PowerShell.
  • Strong analytical thinking, problem-solving ability, and decision-making initiative.
  • Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.


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 AI Software Engineer

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 16397 AI Software Engineer
More about this job

Responsibilities

Collaborate with business and cross-functional teams to identify AI/ML opportunities, then build, maintain, and integrate applications and models into enterprise systems, including SAP S/4HANA. Automate data pipelines, manage model performance and lifecycle improvements, and deliver scalable solutions that create measurable business value.

Requirements

Requires more than two years of AI, machine learning, and deep learning experience developing and deploying production-grade solutions, plus a bachelor's or master's degree in a relevant technical field. Candidates should have strong Python, SQL, React, JavaScript/TypeScript, PySpark, REST API, cloud, and ML/DL expertise, along with communication, analytical, and problem-solving skills.

Skills

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Python
  • SQL
  • React
  • JavaScript
  • TypeScript
  • PySpark
  • REST APIs
  • Computer Vision
  • Natural Language Processing
  • Time Series Forecasting
  • Predictive Analytics
  • Microsoft Azure
  • Azure Databricks

Benefits

  • Dental Insurance
  • Medical Insurance
  • Life Insurance
  • Disability Insurance
  • Retirement Savings Plan
  • Employee Assistance Program
  • Telehealth Program

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Data & Analytics
  • Engineering

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Python
  • React
  • SQL
  • JavaScript
  • TypeScript
  • PySpark
  • REST APIs
  • Full-Stack Integration
  • ETL
  • AI/ML Pipelines
  • Computer Vision
  • Natural Language Processing
  • Time Series Forecasting
  • Predictive Analytics
  • Image Recognition
  • Microsoft Azure
  • Azure Databricks
  • Azure Machine Learning
  • Azure AI Foundry
  • Azure App Services
  • Azure Kubernetes Service
  • Azure Blob Storage
  • SAP S/4HANA
  • Azure DevOps
  • Agile Methodologies
  • Linux
  • PowerShell

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