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Senior Machine Learning Engineer
Senior Machine Learning Engineer-March 2024
Home Or Hybrid
Mar 28, 2026
About Senior Machine Learning Engineer

  Senior AI Engineer

  Location: Home-Based Canada or Hybrid Quebec city / Burlington, Ontario

  As a Senior AI Scientist you’ll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on artificial intelligence and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, Bentley Systems has access to multiple data sources from various engineering and infrastructure companies. Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.

  Responsibilities​

  Develop AI/ML algorithms and models using accepted best practices​

  Analyse user challenges, workflows and use cases​

  Keep yourself up-to-date with the relevant research and scientific literature​

  Provide a technological watch over various areas of AI/ML​

  Assist in data acquisition from various sources​

  Analyse data integrity and quality​

  Develop data cleaning strategies and prepares training datasets​

  Assess model performance and resilience​

  Prepare reports and presentations on results​

  Present results to peers, internal stakeholders and users

  Qualifications​

  BSc, MSc or PhD in machine learning or a related specialty​

  5 years of experience Research and development in machine learning - including deep learning and advanced techniques​

  Experience in practical machine learning applications and development​

  Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges​

  Programming and use of tools related to our area of practice such as: Python, PyTorch and Scikit-learn​

  Strong problem-solving capabilities using various technologies​

  Capability to research a new topic and to learn quickly​

  Experience with major cloud providers (Microsoft Azure, Amazon AWS, etc.) and/or MLOps experience desired.

  What We Offer:

  A great Team and culture – please see our Recruitment Video. (https://www.youtube.com/watch?v=epJImnDsbYE&feature=youtu.be)

  An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction.

  Competitive Salary and benefits.

  The opportunity to work within a global and diversely international team.

  A supportive and collaborative environment.

  Colleague Recognition Awards.

  #LI-Remote #LI-RV

  About Bentley Systems:

  Bentley Systems (Nasdaq: BSY) is the infrastructure engineering software company. We provide innovative software to advance the world’s infrastructure – sustaining both the global economy and environment. Our industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities. Our offerings, powered by the iTwin Platform for infrastructure digital twins, include MicroStation and Bentley Open applications for modeling and simulation, Seequent’s software for geoprofessionals, and Bentley Infrastructure Cloud encompassing ProjectWise for project delivery, SYNCHRO for construction management, and AssetWise for asset operations. Bentley Systems’ 5,000 colleagues generate annual revenues of more than $1 billion in 194 countries.

  Equal Opportunity Employer:

  Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.

  Equal Opportunity Employer/Minorities/Females/Veterans/Disabled

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