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Applied AI Researcher

2 months ago


Québec, Quebec, Canada C Psystems Full time
Job Title: Applied AI Scientist II

Bentley Systems is seeking an exceptional Applied AI Scientist II to join our team and contribute to the development of innovative AI solutions for smart infrastructure. As a key member of our Data Science team, you will be responsible for creating new AI products and collaborating with experienced researchers to advance our AI research fields.

Key Responsibilities:

  • Design and develop AI/ML algorithms and models using best practices
  • Analyze user challenges, workflows, and use cases to inform AI solution development
  • Stay current with relevant research and scientific literature to drive innovation
  • Monitor various areas of AI/ML to identify opportunities for growth and improvement
  • Assist in data acquisition from various sources and evaluate data integrity and quality
  • Develop data cleaning strategies and prepare training datasets for model development
  • Measure model performance and resilience, and prepare reports and presentations on results
  • Present results to peers, internal stakeholders, and users to drive business impact

Requirements:

  • BSc, MSc, or PhD in machine learning or a related field
  • At least 4 years of experience in machine learning research and development, including deep learning
  • Experience with Large Language Models, RAG, and copilot systems
  • Practical machine learning applications and development experience
  • Innovative AI solutions development capability
  • Proficiency with Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
  • Strong problem-solving skills and ability to research and learn new topics quickly
  • Fluency in English

Preferred Qualifications:

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

Bentley Systems is committed to providing innovative software solutions to advance global infrastructure, sustaining both economy and environment. We value equal employment opportunities and consider all qualified applicants without regard to race, color, gender identity, sexual orientation, disability, marital status, religion, national origin, age, or any other protected characteristic.