Job Description
Join ShyftLabs as a Remote ML-Ops Engineer and contribute to end-to-end Machine Learning solutions for enterprise clients. Leverage your expertise in Python and cloud platforms to empower data science teams.
ShyftLabs is seeking an ML-Ops Engineer with a robust background in Machine Learning and Software Development. You will collaborate with a wide range of stakeholders, developing production pipelines and implementing training workflows. This role requires a self-directed individual eager to solve complex business problems and improve operational efficiency.
Key Responsibilities:
• Design large-scale ML systems for training and serving
• Develop robust code for production environments
• Collaborate with cloud ops to expedite ML production
• Build tools to support data scientist workflows
• Manage lifecycle of deployed ML applications
Requirements:
• Bachelor's in Computer Science, Mathematics, or related field
• 3+ years software development experience, ...
ShyftLabs is seeking an ML-Ops Engineer with a robust background in Machine Learning and Software Development. You will collaborate with a wide range of stakeholders, developing production pipelines and implementing training workflows. This role requires a self-directed individual eager to solve complex business problems and improve operational efficiency.
Key Responsibilities:
• Design large-scale ML systems for training and serving
• Develop robust code for production environments
• Collaborate with cloud ops to expedite ML production
• Build tools to support data scientist workflows
• Manage lifecycle of deployed ML applications
Requirements:
• Bachelor's in Computer Science, Mathematics, or related field
• 3+ years software development experience, ...