Industrial Machine Learning Engineer Role (Vancouver)

Lead the implementation of ML solutions in industrial environments as an Engineer specializing in fault detection and predictive maintenance. Work collaboratively across the full project cycle. As a Machine Learning Engineer, you will play a vital role in optimizing manufacturing processes through advanced ML methods. This role entails working closely with engineers, managing complex data pipelines, and ensuring model performance in production settings. A solid foundation in engineering principles is essential to success here. Key Responsibilities: • Develop ML models for classification and forecasting • Work with teams to define ML tasks from engineering problems • Build data pipelines from wide-ranging sources • Engineer features based on physical process insights • Validate models against actual operational conditions Requirements: • Engineering or Computer Science degree required • 3-5 years in applied ML or data science • Proficiency in Python and relevant libraries • Experience with Docker; familiarity with orchestration tools • Eligible to travel for work in the US and Canada Utilize your machine learning skills to tackle engineering challenges and contribute to innovative industrial solutions. #J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2nmi6z