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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:
Experience building or using AI products. Experience with Red Hat OpenShift AI or OpenDataHub (ODH) or any of these products, is important: Databricks Data, Vertex AI, Anaconda, Pachyderm, Amazon SageMaker
Knowledge of the AI and machine learning landscape, including open source communities, GPUs and software vendors
Strong experience developing applications in Go or Python, or other language
Strong experience in Kubernetes, OpenShift or other cloud-native technologies
Deep understanding of core MLOps concepts
Proven experience in leading machine learning engineering or operations teams, with a 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 tec nical 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
ISTQB certification - Foundation level or higher
The salary range for this position is $142,140.00 - $234,500.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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