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Job Summary:
The) team is seeking an. In this role,, centered around DevTestOps principles, to enhance our development, testing, and operational workflows.
What you will do:
Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment.
Engage with prominent AI and machine learning open source communities such as KServe, Kubeflow, HuggingFace, and vLLM.
Work with product management and engineering teams to develop technology roadmaps and schedules, and communicate these schedules externally.
Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.
Working closely with the technical leads and scrum leads to direct the team in agile development.
Mentor and guide team members in their career development, and growth.
Recruit new associates within the growing engineering team.
What you will bring:
Strong experience developing applications in Go or Python, or other language.
Strong experience in Kubernetes, OpenShift or other cloud-native technologies
Understanding of core MLOps concepts
Proven leadership abilities in a software development context
Excellent written and verbal communication skills
Ability to lead and work with diverse and distributed teams from multiple countries and cultures
The following will be considered a plus:
While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
Understanding of how Open Source and Free Software communities work
Experience with development for public cloud services (AWS, GCE, Azure)
Experience working with or deploying MLOps platforms
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