Applied Machine Learning Scientist at Semex (Saint-Hyacinthe)

Enhance agricultural technology with Semex as an Applied Machine Learning Scientist in Computer Vision. Innovate lab workflows and develop predictive models to optimize production decisions. This hybrid role involves direct collaboration with the Research & Innovation team. You will focus on deploying computer vision models and building robust predictive systems for embryo and semen quality processes. The position requires hands-on expertise in ML/AI and commitment to operationalizing effective solutions aligned with production workflows. Key Responsibilities: • Develop computer vision models to enhance lab imaging workflows • Build predictive models for production optimization and decision support • Lead applied research in imaging and anomaly detection • Own ETL processes and ensure scalable ML Ops deployments • Drive automation through SOPs and staff training Requirements: • Master of Science in a relevant field or equivalent experience • 2–4 years in applied ML/AI development • Solid experience with computer vision and ML lifecycle • Proficiency in MLOps/DevOps methodologies • Excellent technical communication skills Leverage your expertise in machine learning and computer vision to support the innovative work at Semex. #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2pqy0r