ShyftLabs
Remote ML-Ops Engineer at ShyftLabs
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, ide...
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, ide...