Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Dorval, Québec, CA, H4S 1Y9
Actively hiring, first seen by us 4 days agoDesign, develop and maintain applications and AI/ML models in Python and React
Automate data extraction, transformation and loading for AI/ML pipelines
Deploy and integrate AI models into enterprise systems, including SAP S/4HANA
Monitor, evaluate and improve models over their lifecycle
Translate business stakeholder requirements into technical solutions
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.
Contribute to model lifecycle management, including monitoring, evaluation and continuous improvement.
Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
How to thrive in this role? • 5+ years of experience in Software Development, combined with experience in AI/ML Engineering or Operational Research. • 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 experience implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP. • 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. • Bonus points for experience applying optimization techniques (e.g. linear programming, mixed-integer programming) using tools such as OR-Tools, CPLEX, etc. Now that you can see yourself in this role, apply and join the Bombardier Team!
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 4
Early. Similar jobs usually come down between day 7 and day 72.
From 4,777 similar postings that came down. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
How to thrive in this role? • 5+ years of experience in Software Development, combined with experience in AI/ML Engineering or Operational Research. • 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 experience implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP. • 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. • Bonus points for experience applying optimization techniques (e.g. linear programming, mixed-integer programming) using tools such as OR-Tools, CPLEX, etc. Now that you can see yourself in this role, apply and join the Bombardier Team!
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?
Complete your application on jobs.bombardier.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
When applicable, Bombardier promotes flexible and hybrid work policies.
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.
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
• 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.
• 5+ years of experience in Software Development, combined with experience in AI/ML Engineering or Operational Research.
• 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 experience implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP.
• 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.
• Bonus points for experience applying optimization techniques (e.g. linear programming, mixed-integer programming) using tools such as OR-Tools, CPLEX, etc.
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 Analyst, Data Science & AI developper
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift Day job
Employee Status Regular
Requisition 13946 Analyst, Data Science & AI developper
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Dorval, Québec, CA, H4S 1Y9
When applicable, Bombardier promotes flexible and hybrid work policies. Why join us?
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 Analyst, Data Science & AI developper