מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
What you will do:
Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment with impact across multiple components of the RHOAI product
Engage with the Ray and Kubeflow open source communities
Work with product management, customers, engineering teams, and other stakeholders to formulate a product vision and roadmap as well as an execution plan to achieve this vision
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.
Evolve cross-team processes as needed to improve execution as the team scales
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:
Experience developing applications in Go or Python, or other language
Experience in Kubernetes, OpenShift or other cloud-native technologies
Understanding of core MLOps concepts, particularly in model training/tuning
Experience in managing machine learning engineering or operations teams, with a sustained track record of successful project delivery and development of software engineers
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 will be a plus
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