What are the responsibilities and job description for the MLOps Engineer position at Skill On Tap?
Job Description
The ideal candidate will bring their expertise in Kubernetes, Slurm, JupyterHub, and Linux administration to ensure the smooth operation of this environment.
Candidates with experience in AI development, video analytics, and other tech disciplines will find this role particularly engaging, as the platform's capabilities extend beyond AI. This position offers a unique opportunity to contribute to the broader technological advancements of the organization.
Candidates with experience in AI development, video analytics, and other tech disciplines will find this role particularly engaging, as the platform's capabilities extend beyond AI. This position offers a unique opportunity to contribute to the broader technological advancements of the organization.
looking for a MLOps Engineer to take a pivotal role in managing the installation, modification, and support of Linux applications within their supernode platform. This platform comprises a cluster of high-performance computers, designed to streamline AI model training and testing. The ideal candidate will bring their expertise in Kubernetes, Slurm, JupyterHub, and Linux administration to ensure the smooth operation of this environment.
Candidates with experience in AI development, video analytics, and other tech disciplines will find this role particularly engaging, as the platform's capabilities extend beyond AI. This position offers a unique opportunity to contribute to the broader technological advancements of the organization.
Requirements:
Proficiency in Linux administration, with a strong preference for candidates with deep expertise in Linux environments. Windows experience is acceptable, but a solid grasp of Linux is essential.
Demonstrated ability to install, modify, and provide support for Linux applications. Experience with JupyterHub is a plus.
Familiarity with cluster management, particularly in negotiating resources across multiple computers simultaneously. Knowledge of the Bright software is highly desirable.
Proficiency in Slurm for job scheduling, with any prior experience being an advantage.
Competence in container management, including expertise with Docker for containerization, pushing, and pulling containers.
Knowledge of maintaining High-Performance Computing (HPC) systems, encompassing various components that make up this sophisticated infrastructure.
Candidates with experience in AI development, video analytics, and other tech disciplines will find this role particularly engaging, as the platform's capabilities extend beyond AI. This position offers a unique opportunity to contribute to the broader technological advancements of the organization.
Requirements:
Proficiency in Linux administration, with a strong preference for candidates with deep expertise in Linux environments. Windows experience is acceptable, but a solid grasp of Linux is essential.
Demonstrated ability to install, modify, and provide support for Linux applications. Experience with JupyterHub is a plus.
Familiarity with cluster management, particularly in negotiating resources across multiple computers simultaneously. Knowledge of the Bright software is highly desirable.
Proficiency in Slurm for job scheduling, with any prior experience being an advantage.
Competence in container management, including expertise with Docker for containerization, pushing, and pulling containers.
Knowledge of maintaining High-Performance Computing (HPC) systems, encompassing various components that make up this sophisticated infrastructure.
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