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About the Role
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 Learn...
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 Learn...
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