Sh
Posted:
June 04, 2026
Location:
toronto, on, Canada
Job Description
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 • ...
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 • ...
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Job Type:
Full-time
Location:
toronto, Canada
Posted:
June 04, 2026
Deadline:
July 14, 2026