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IT - Technology Architect | Data Science | Machine Learning

Cloudspace LLCAustin, TX

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Overview

Remote
On-site

Job Description

Client: Apple

Do you have a pre-identified candidate? New sourcing? Existing Subcon?- New sourcing

Max Hourly Pay Rate to the candidate?: $ 75/Hr

Do you have a preferred interview schedule?: Yes

Would you require the candidates to meet you for an in-person interview?: No

Is Skype/WebEx interview, OK?: Yes

Work Location with ZIP: Austin-TX-78753

Is remote work an option?: No

If remote work, please indicate how many days are required to be in the office and remote: 3 days in a week required to be in the office

Chance to be perm?: Yes

Performance Expectations:

Technical Hiring Criteria (Must Haves)

Top 3 Required skills: Machine Learning, Python, Google Cloud Platform (GCP)

Years of experience in each of the must-have skills: 7+ Years

Any Certifications required: No

Any additional information you would like to share about the project specs/nature of work: NA

Preferred Qualifications:

Experience with API development and integration.Knowledge of cloud platforms (AWS, Azure, GCP) for deploying observability tools.Prior experience in building or maintaining observability platforms., Project Code :AiDP AntiFraud FY26Q2

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FAQs About IT - Technology Architect | Data Science | Machine Learning Jobs at Cloudspace LLC

What is the work location for this position at Cloudspace LLC?
This job at Cloudspace LLC is located in Austin, TX, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Cloudspace LLC?
Employer has not shared pay details for this role.
What employment applies to this position at Cloudspace LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Cloudspace LLC?
You can apply for this role at Cloudspace LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.