Apple Jobs From Home, Apple Work From Home @carkendra
Job Details:-
Hiring Organization: Apple
Post Name: Manager
Qualification: Bachelor Degree
Industry: Private
Employment Type: Full Time
Work Hours: 8
Salary: $20 To $30/An Hour
Location: USA
Full Job Description:
We are part of the Data Intelligence and Machine Learning (SIML) team at Apple. We are responsible for creating high quality, large ML datasets that are used to train ML models that enable AI-centric features for many Apple products (iPhone, iPad, Mac, Apple Watch and even AirPods). These features range from smart wallpapers on your iPhone’s lock screen, to templates featuring your favorite faces in your Photos app, to input experiences
We are looking for an exceptional engineering leader who is passionate about Apple products and values; someone who likes to work on big data projects; and an active developer is essential to continuously improve our ML data pipeline. AI-centric products are the future of software. At its core, data is the source code for AI, a key component of innovation in ML products including and parallel. We invite you to join us for this exciting time! Grow quickly and feel good about many important features from your first day at Apple
5+ years of industry experience leading data engineering teams building data pipelines or data processing infrastructure, or performing data operations (experience with Airflow, KubeFlow or other pipelining tools)
Demonstrated track record of hiring, mentoring and developing engineers, and building a strong software engineering culture
Great persistence and passion for supporting daily data operations
Proficiency in Python or other modern programming languages
Excellent written and verbal communication skills, able to work well with other non-engineering data service teams
Independent, able to manage ambiguity, identify risks, solve problems and find the right people and tools to do the job.
Explanation:
In this role, you will be responsible for developing and planning our organization’s ML data engine, with a focus on the first ML agile data OPs. This includes identifying infrastructure and data collection to use, designing and creating pipelines between data systems and teams, automation, data visualization and tools, optimization and monitoring tools.
Your data engineering team will use these systems to support end-to-end data processes related to collection / interpretation / QA operations, rapidly delivering high-quality data to the ML team, ensuring traceability and publication of data items, and enforcing compliance with agreement. and administrative work. You will work with the SIML data and ML team to analyze data engineering needs related to ML deployment projects. You will follow and influence the roadmap of the teams building the infrastructure blocks we rely on (such as security and scoring platforms), to contribute to the first ML data engine. You will also work closely with our data science team to ensure we provide highly representative data.
How to prepare for an interview in the USA :
Preparing for a job interview in the USA requires several steps to ensure that you present yourself as the best candidate for the position. Here are some tips to help you prepare for your interview:
- Research the company: Research the company thoroughly to understand its values, mission, and culture. This can help you tailor your responses to the company’s specific needs and show that you are a good fit for the organization.
- Review the job description: Review the job description and identify the key skills and qualifications required for the role. This can help you prepare specific examples and stories that demonstrate how you possess these skills and qualifications.
- Prepare your responses: Prepare responses to common interview questions, such as “Tell me about yourself” or “Why are you interested in this role?” Practice your responses with a friend or family member to gain confidence and ensure that your answers are concise and clear.
- Dress appropriately: Dress professionally for the interview. In the USA, it is typical to wear business attire for job interviews, such as a suit or dress.
- Bring a copy of your resume: Bring a copy of your resume, a list of references, and any other relevant documents to the interview.
- Be on time: Plan to arrive at least 15 minutes early to the interview to allow time for unexpected delays.
- Show enthusiasm: Show enthusiasm for the role and the company during the interview. Be engaged, ask questions, and show that you are excited about the opportunity to work for the organization.
- Follow up after the interview: Send a thank-you note or email to the interviewer within 24 hours of the interview. This can help you stand out and demonstrate your professionalism and interest in the role.
By following these tips, you can increase your chances of making a positive impression during your job interview in the USA.
Apple Jobs From Home, Apple Work From Home
Why To Choose USA For Job:
There are several reasons why people choose the USA for job opportunities:
- High-quality job opportunities: The USA is home to some of the world’s largest and most successful companies, providing job seekers with access to high-quality job opportunities in various industries.
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