Senior Applied AI Scientist

Bentley SystemsQuebec, QC
Hybrid

About The Position

As a Senior Applied 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 virtue of 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.

Requirements

  • 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
  • Fluent in English

Nice To Haves

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

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

Benefits

  • An attractive salary and benefits package.
  • A commitment to inclusion, belonging, and colleague wellbeing through global initiatives and resource groups.
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