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Applied Machine Learning Scientist

Semex

Saint-Hyacinthe · Hybrid Full-time Mid Level Yesterday

About the role

About

Elevate lab workflows as an AppliedMachine Learning Scientist specializing in Computer Vision. Develop and deploy predictive models that enhance quality control and decision-making processes effectively. This hybrid role collaborates closely with Production and IT teams to drive innovation in the Research & Innovation sector. You will focus on applied research initiatives, lead computer vision projects, and oversee end-to-end machine learning lifecycle management. Key skills include hands-on experience with imaging pipelines, model training, and MLOps practices.

Responsibilities

  • Develop computer vision models for lab imaging workflows
  • Build predictive models for production optimization
  • Lead applied research in imaging-based predictions
  • Own data pipelines and ML Ops systems
  • Drive automation through SOP development and training

Requirements

  • MSc in Computer Science, Data Science, or related field
  • 2–4 years in applied ML/AI experience
  • Strong expertise in computer vision methodologies
  • Hands-on in ML lifecycle from training to monitoring
  • Technical communication skills for cross‑functional collaboration

Additional Information

Leverage your expertise in computer vision and apply innovative solutions to improve workflow efficiency within lab settings.

Job ID

J-18808-Ljbffr

Requirements

  • Strong expertise in computer vision methodologies
  • Hands-on in ML lifecycle from training to monitoring
  • Technical communication skills for cross-functional collaboration

Responsibilities

  • Develop computer vision models for lab imaging workflows
  • Build predictive models for production optimization
  • Lead applied research in imaging-based predictions
  • Own data pipelines and ML Ops systems
  • Drive automation through SOP development and training

Skills

Computer VisionMLOpsMachine Learning

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