Kr Sales Change Management Lead Direct Contractor jobs at Apple in United States, Seattle
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Company (1)
Job type
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Job title (1)
United States
State
Seattle
16 jobs found
17.12.2024
A
Apple AIML - Manager Engineering Program Management ML Lifecycle United States, Washington, Seattle
10+ years of program management experience, with at least 5 years leading complex, technical programs in machine learning or data-driven environments. Strong understanding of the end-to-end machine learning lifecycle, from...
Our goal is to help define exciting product features that will touch our customers. Therefore you’ll have the ability to solve challenging engineering problems by selecting components, designing schematics, directing...
Experience leading or managing technical programs. Technical project/program management experience or equivalent experience. Understanding of both waterfall and agile project management methodologies. Strong facilitation skills to drive complex, cross functional,...
Minimum 8+ years of experience as a solutions architect, software engineer or related technical role in technology domain areas (e.g. cloud computing, infrastructure, security, networking, machine learning). Demonstrated ability to...
- Experience: 15+ years of experience in sales, digital marketing, or strategic partnerships, preferably within the consumer electronics or audio industry. - Proven Track Record: Demonstrated history of cultivating strategic...
10+ years of experience in AI/ML, with at least 2+ years in a technical lead role. Proven track record of leading successful AI/ML projects from conception to deployment. Expertise in...
Ph.D., M.S. or equivalent experience in Computer Science, Machine Learning, and/or Human-Computer Interaction. 7+ years proven experience working on Machine Learning building Products facing external customers. Proficient in one more...
10+ years of program management experience, with at least 5 years leading complex, technical programs in machine learning or data-driven environments. Strong understanding of the end-to-end machine learning lifecycle, from...
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