Industrial Machine Learning Engineer Role (Vancouver)

Transform industrial processes as a Machine Learning Engineer focusing on model deployment and predictive maintenance. Your expertise in ML will drive operational improvements and quality optimization. This role works closely with plant engineers to translate domain issues into machine learning tasks. You'll develop advanced ML models, build data pipelines, and validate model performance using real-world plant data. Prepare to containerize models with Docker and support ongoing monitoring and retraining workflows as needed. Key Responsibilities: • Build and deploy ML models for predictive maintenance • Design feature engineering based on process understanding • Create data pipelines from SCADA and historian systems • Conduct model validation against plant operations • Support CI/CD for machine learning workflows Requirements: • Degree in Engineering or Computer Science • 3-5 years of relevant experience in ML • Proficiency in Python tools like NumPy and pandas • Understanding of process engineering principles • Effective communicator with non-technical audiences Leverage your machine learning expertise to enhance production performance and efficiency. #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2nmwsx