Be a pivotal part of ShyftLabs as an ML-Ops Engineer working with Fortune 500 companies. Focus on developing scalable Machine Learning platforms and collaborative workflows.

ShyftLabs is expanding its team with an ML-Ops Engineer skilled in both Machine Learning and Software Development. In this position, you will tackle complex business challenges while working in a fully remote or hybrid model from Toronto. You will engage with cross-functional teams to implement robust Machine Learning solutions.

Key Responsibilities: • Create large-scale ML systems for diverse workloads • Write and maintain quality code in production • Collaborate with cloud teams to streamline ML processes • Develop tooling for effective data science experimentation • Oversee lifecycle management of ML applications

Requirements: • Bachelor's degree in a relevant field • 3+ years software development experience, preferably in Python • 3+ years of direct experience with Machine Learning • ...