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Machine Learning Expert at HDR
HDR, Inc.
Full-time
vancouver, metro vancouver regional district
Other-General
Posted:
June 09, 2026
Location:
vancouver, metro vancouver regional district, Canada
Job Description
Boost your professional journey at HDR as a Machine Learning Expert. Engage in advancing AI capabilities while working with diverse teams committed to engineering excellence.
As a Machine Learning Expert, you will play an instrumental role in developing cutting-edge AI tools for HDR's AI services within the Transportation program. You will lead projects that require effective collaboration with technical and non-technical stakeholders. This role demands a proactive approach to maintain and enhance AI systems using best practices in model development and deployment.
Key Responsibilities:
• Create and enhance AI tools for engineering
• Collaborate with IT for infrastructure solutions
• Monitor deployment of ML applications
• Lead the development of AI reports and presentations
• Stay updated on AI technologies and trends
Requirements:
• Bachelor's degree in a relevant discipline
• 5+ years of experience in machine learning
• Expertise in Python and AI fra...
As a Machine Learning Expert, you will play an instrumental role in developing cutting-edge AI tools for HDR's AI services within the Transportation program. You will lead projects that require effective collaboration with technical and non-technical stakeholders. This role demands a proactive approach to maintain and enhance AI systems using best practices in model development and deployment.
Key Responsibilities:
• Create and enhance AI tools for engineering
• Collaborate with IT for infrastructure solutions
• Monitor deployment of ML applications
• Lead the development of AI reports and presentations
• Stay updated on AI technologies and trends
Requirements:
• Bachelor's degree in a relevant discipline
• 5+ years of experience in machine learning
• Expertise in Python and AI fra...
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Job Type:
Full-time
Location:
vancouver, Canada
Posted:
June 09, 2026
Deadline:
July 19, 2026