ML-OPS

We're looking for Dev Ops / ML Ops

Job Responsibilities:

• Close collaboration with algorithm teams to build infrastructure for research and development processes of ML products.
• Leading methodologies, responsible for data pipelines and integration with clients and internal tools.
• Providing quick and tailored responses to urgent needs, including working with teams across the organization.
• Identification and understanding of workflow processes in different, sometimes interchangeable teams.
• Assisting in establishing recommended work methods and a culture of excellence in data deployment and maintainable processes.

Requirements:

• Bachelor's degree in Computer Science or a related technological field.
• Minimum of 5 years of experience in the software industry, including MLOps roles.
• High proficiency in Pytorch/docker/git/Linux/K8s/GPUs.
• Deep understanding of the technological landscape of MLOps tools, DS research processes, and CI/CD tools.
• Strong communication and interpersonal skills.
• Ability to efficiently communicate between multidisciplinary teams, translating discussions into technological solutions, designs, and guidelines.

Advantages:

• Experience with Run:AI.
• Ability to diagnose performance issues.