Senior Applied AI Scientist

Bentley Systems; Burlington; Remote; CAD 100,000 - 150,000; Full time

Job summary

A leading software company in Canada is seeking a Senior Applied AI Scientist to develop innovative AI solutions for smart infrastructure. Candidates should have over 6 years of experience in machine learning, including knowledge of deep learning and practical applications. The role offers flexibility to work from home and requires strong programming skills, especially in Python. Join a collaborative team pushing the boundaries of AI technology.

Qualifications

• At least 6 years of experience doing research and development in machine learning.
• Experience in practical machine learning applications and development.
• Fluent in English.

Responsibilities

• Develop AI/ML algorithms and models using accepted best practices.
• Analyze user challenges, workflows, and use cases.
• Prepare reports and presentations on results.

Skills

Machine learning research and development

Deep learning and advanced techniques

Programming in Python

Problem-solving capabilities

Knowledge of cloud providers

Experience with Large Language Models

Education

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

Tools

Python

PyTorch

Scikit-learn

LangChain

Cloud platforms

Job description

Senior Applied AI Scientist

Location: This role has the flexibility of being home-based in Canada.

As 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 AI, and collaborate with an established team of Data Scientists. By its unique market positioning, 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
• Analyze 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
• Analyze data integrity and quality
• Develop data cleaning strategies and prepare training datasets
• Measure 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
• At least 6 years of experience doing research and development in machine learning, including deep learning and advanced techniques
• Experience with Large Language Models, RAG, and Copilot systems
• 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, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
• 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, ElasticSearch, etc.) and/or MLOps experience desired
• Fluent in English

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.