Start Date
Immediate
Expiry Date
12 Nov, 25
Salary
0.0
Posted On
13 Aug, 25
Experience
8 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Decision Making, Presentation Skills, Critical Thinking, Color, Data Analysis, Apple, Uncertainty, Root, Relationship Building, Communication Skills
Industry
Information Technology/IT
The people here at Apple don’t just build products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! Apple is seeking an experienced project manager to join the AIML Annotation Operations team and oversee machine learning data set grading and curation. This is a multi-functional role working with production support, engineering, operations, QA, training etc. teams in enabling and tracking production progress, performing data analysis, root cause analysis, QA and production rollouts.
DESCRIPTION
As a proven project manager, you can thrive in a fast-paced workplace where both individual drive and team collaboration are the keys to success. You will collaborate with engineering teams and data requestors to deploy scalable data pipelines in production. Additionally, you will plan and track delivery timelines, provide technical expertise and leadership throughout a data request life cycle to ensure the final dataset meets the customer’s quality expectations. You will deliver monthly volume forecasts and capacity planning, and handle resource management, including planning, hiring, and onboarding schedules. Overseeing all day-to-day operational responsibilities, you will manage workflow, conduct operations health reviews, track quality assurance status, and organize training refreshers. You will engage with Spec/Process Engineers to resolve queries from the Operations team and with Customers to clarify quality requirements, discuss edge cases, and receive early quality feedback for new annotation types. Furthermore, you will identify potential areas for tools and process improvements, conduct impact analysis, scope clear requirements, and work with the prototyping team to test these approaches before deploying them in production.
MINIMUM QUALIFICATIONS
PREFERRED QUALIFICATIONS
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
Please refer the Job description for details