Manager, Applied AI
Quebec, Quebec, CA
Bentley Systems
Providing architects, engineers, constructors, and owner-operators with comprehensive architecture and engineering solutions for advancing infrastructure.Manager, Applied AI
Location:âŻHome-Based Canada⯠or⯠Hybrid Quebec city / Burlington, OntarioÂ
As a Manager Applied AI youâll 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.Â
ResponsibilitiesÂ
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Analyse user challenges, workflows and use casesÂ
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Present POCs and pretotypes to users to get early feedbackÂ
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Keep yourself up-to-date with the relevant research andâŻscientific literatureÂ
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Provide a technological watch over various areas ofâŻAI/MLÂ
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Steer technical tradeoffs within the AI development teamÂ
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Develop AI/ML algorithms and models using acceptedâŻbest practicesÂ
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Work with users to acquire data under signed data agreement to fuel the development of new and better modelsÂ
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Collaborate with data specialists to develop data cleaning and labeling strategies and prepares trainingâŻdatasetsÂ
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Define metrics for model evaluation and usage telemetryÂ
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Prepare reports and presentations on resultsÂ
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Present results to peers, internal stakeholders and usersÂ
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Responsible for quality and timeliness of AI development team's deliveriesÂ
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Responsible for long-term quality and maintainability of the productÂ
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Responsible for skills development of AI teamÂ
QualificationsÂ
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BSc, MSc or PhD in machine learning or a relatedâŻspecialtyÂ
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At least 6 years of experience Research and development in machine learning - including deep learning andâŻadvanced techniquesÂ
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Experience in practical machine learning applicationsâŻand developmentÂ
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Experience in team management and Agile methodologyÂ
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Great communication skillsÂ
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Ability to develop innovative solutions in artificialâŻintelligence to resolve concrete and complex challengesÂ
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Programming and use of tools related to our area ofâŻpractice such as: Python, PyTorch, Docker, LLMs, etc.Â
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Strong problem-solving capabilities using variousâŻtechnologiesÂ
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Capability to research a new topic and to learn quicklyÂ
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Experience with major cloud providers (Microsoft Azure, Amazon AWS, etc.) and/or MLOpsâŻexperience desired.Â
What We OfferÂ
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A great Team and culture â please see our Recruitment Video.Â
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An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction.Â
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Competitive Salary and benefits.Â
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The opportunity to work within a global and diversely international team.Â
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A supportive and collaborative environment.Â
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Colleague Recognition Awards.Â
#LI-Remote #LI-RVÂ
îAbout 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.comÂ
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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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Agile Architecture AWS Azure Clustering Computer Vision Deep Learning Docker Engineering LLMs Machine Learning MLOps NLP PhD Python PyTorch Reinforcement Learning Research Unsupervised Learning
Perks/benefits: Career development Competitive pay
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