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Key skills for this role
In this role, handle implementing data pipelines focused on Machine Learning applications.
You will develop data sets for POCs to demonstrate new insights.
Several of these may lead to fully operational ML models and deploy and own the life-cycle on in-house and third party cloud environments.
You will partner with various cross functional teams to define, develop and implement data technology solutions, with an emphasis on providing superior foundational data for ML applications.
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A strong understanding of distributed data systems and experience in using open source frameworks to build applications is required.
A solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable, as is an ability to deploy solutions based on these platforms.
Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads, and working with partner teams to ensure scalability, business continuity and appropriate turnaround time is a key part of the operationalization effort.
As a member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for those.
In the process, you will identify the requirements of new features, and propose design and drive the solution.
A strong understanding of data governance and data privacy is expected for this role in keeping with Apple’s strong commitment to the same.
B.S or M.S in Computer Science, Mathematics, Statistics, Operational Research, Data Science / equivalent experience.
AI platform mapping optimal plots for solar panel installations.
Visit company websiteJobs and hiring trendsUSD 110000-140000 yearly / year
Full-time
Mid · 3+ years experience
Remote
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