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Chief Machine Learning Architect - Vancouver - beBeeML
Job title: Senior AI/ML Engineer
Description
AI Engineering RoleThis is a production-focused position for engineers who build real AI systems, not research prototypes or demo applications. You will work across the full AI lifecycle — from data and modeling to deployment, monitoring, and continuous improvement — contributing to scalable, real-world machine learning solutions.
You will collaborate with engineering, data, and product teams to design and operate AI systems that are reliable, production-grade, and built for real users and real scale.
About This Opportunity
The role requires strong hands-on experience in applied AI engineering as well as collaboration skills. The ideal candidate has experience operating in fast-moving environments while owning entire projects from start to finish.
The Skills We Need:
You must have senior-level experience in building deployable ML products using Python programming language. It would be beneficial if you had background knowledge of several tools such as PyTorch,TensorFlow scikit-learn along other useful libraries like pandas,numpy etc..Additionally,
you should be familiar with AWS cloud platforms Docker Kubernetes also can't hurt at all!! Lastly good communication skilss valid too!
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