Manager, Applied AI

Bentley Systems
Full time
Software Development
Canada
Hiring from: Canada
Bentley Systems

Manager, Applied AI

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

As a Manager Applied AI you’ll have the opportunity to lead a team of seasoned data scientists and developers to develop innovative solutions in artificial intelligence (AI) for smart infrastructure and collaborate with experienced product managers to design new products and features based on artificial intelligence. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graph-network models, natural language processing and large language models, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.

Responsibilities

  • Analyse user challenges, workflows and use cases
  • Present POCs and pretotypes to users to get early feedback
  • Keep yourself up-to-date with the relevant research and scientific literature
  • Provide a technological watch over various areas of AI/ML
  • Steer technical tradeoffs within the AI development team
  • Develop AI/ML algorithms and models using accepted best practices
  • Work with users to acquire data under signed data agreement to fuel the development of new and better models
  • Collaborate with data specialists to develop data cleaning and labeling strategies and prepares training datasets
  • Define metrics for model evaluation and usage telemetry
  • Prepare reports and presentations on results
  • Present results to peers, internal stakeholders and users
  • Responsible for quality and timeliness of AI development team's deliveries
  • Responsible for long-term quality and maintainability of the product
  • Responsible for skills development of AI team


Qualifications

  • BSc, MSc or PhD in machine learning or a related specialty
  • At least 6 years of experience Research and development in machine learning - including deep learning and advanced techniques
  • Experience in practical machine learning applications and development
  • Experience in team management and Agile methodology
  • Great communication skills
  • 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, Docker, LLMs, etc.
  • 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.
  • 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.


About Bentley Systems

Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com

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.

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