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Internship Apple Machine Learning Engineer Jobs in Arizona

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Java Developer with AWS (Remote)

Tempe, AZ

$49.75 - $64.25/hr

... apple, google, Paypal, western union, client, visa, walmart lab etc to name a few. Currently, we ... We want data science/machine learning/data analyst and Java full stack candidates. For data science ...

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Internship Apple Machine Learning Engineer information

What is the difference between Internship Apple Machine Learning Engineer vs Software Engineering Intern?

AspectInternship Apple Machine Learning EngineerSoftware Engineering Intern
Required CredentialsRelevant coursework, programming skills, some experience in MLComputer science fundamentals, programming skills, coursework
Work EnvironmentResearch-focused, data-driven projects within AppleSoftware development projects, coding, testing
Employer & Industry UsageApple, technology, AI/ML applicationsVarious tech companies, software development

Both roles involve programming and technical skills, but the Internship Apple Machine Learning Engineer focuses on machine learning projects within Apple, requiring knowledge of ML frameworks. The Software Engineering Intern role is broader, emphasizing general software development. Candidates interested in AI/ML should consider the Machine Learning Engineer internship for specialized experience, while those seeking general software development roles may prefer the Software Engineering Intern position.

What are the most commonly searched types of Apple Machine Learning Engineer jobs in Arizona? The most popular types of Apple Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Internship Apple Machine Learning Engineer jobs in Arizona? For Internship Apple Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Internship Apple Machine Learning Engineer jobs? Cities in Arizona with the most Internship Apple Machine Learning Engineer job openings:
Machine Learning Operations (MLOps) Engineer

Machine Learning Operations (MLOps) Engineer

Kforce Technology Staffing

Phoenix, AZ

$69K - $93K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

RESPONSIBILITIES:
Kforce is partnering with a growing organization in Phoenix, AZ that is seeking a Machine Learning/MLOps Engineer to their team. This is a high-impact, highly visible role focused on building and scaling machine learning operations capabilities within a modern data environment.
Summary:
This individual will play a key role in establishing best practices, supporting production ML initiatives, and helping shape the long-term ML strategy. The role is ideal for someone who thrives in a fast-paced, build-from-scratch environment and enjoys bringing structure to evolving processes.
Key Responsibilities:
* Design, build, and scale MLOps capabilities within a growing data and analytics environment
Establish and implement best practices for the ML lifecycle, including:
* Model development and versioning
* Deployment and CI/CD pipelines
* Monitoring, performance tracking, and optimization
* Support and enhance production-level machine learning solutions
* Partner cross-functionally with data, engineering, and business teams
* Help define and standardize ML operational frameworks and workflows
* Collaborate with distributed teams to drive execution and delivery
REQUIREMENTS:
* Hands-on experience in MLOps, ML Engineering, or related disciplines
* Strong understanding of ML lifecycle management and operational best practices
* Experience supporting production machine learning environments
* Proven ability to work in ambiguous or greenfield environments
* Experience with modern data platforms and ability to adapt to new technologies
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.