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Urgent! MLOps Engineer, Data Solutions Job Opening In Singapore, Singapore – Now Hiring Apple
Apple is a place where extraordinary people gather to do their best work.
Together we craft products and experiences people once couldn't have imagined - and now can't imagine living without.
If you're excited by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job Apple is seeking a highly motivated and innovative MLOps engineer to join our worldwide sales team, Data Solutions & Initiatives (DSI).
This is a unique opportunity to help the growth of one of Apple's global initiatives and contribute to launching ground-breaking new features in support of Apple's sales strategy.
In this position, you will join a team of AI and ML engineers focused on automating machine learning pipelines, securing ML models and data infrastructures, and owning all aspects of our AI/ML operations to achieve high availability, scalability, and reliability of machine learning systems in production.
Description
We are looking for a world-class MLOps Engineer who is passionate about operational excellence through automation and machine learning engineering processes.
As an MLOps Engineer, you will play a crucial role in ensuring the seamless integration of machine learning development and production operations, to deliver best in class and highly available ML systems.
You will work with data science, data engineering, and AI/ML engineering teams to understand model deployment and infrastructure requirements, while promoting efficiency, scalability, security, and reliability throughout the machine learning lifecycle.
Your expertise in cloud platforms, ML automation, model monitoring, and ML infrastructure management will be crucial to the success of our AI/ML projects.
Your responsibilities will include: - Designing ML engineering platforms and tooling that simplify the process of building, training, deploying, and operating machine learning models at scale.
- Developing automation for model training pipelines, deployment workflows, model monitoring, and ML operational tasks.
- Monitoring ML model performance, data drift, model accuracy, and system availability, and remediating as necessary.
- Collaborating with data science and ML engineering teams on finding operationally sustainable solutions to model deployment and lifecycle management challenges.
- Provide guidance to the engineering organization on navigating ML governance, model security, and compliance requirements for AI/ML systems.
- Mentoring other MLOps engineers around ML best practices, model deployment strategies, and MLOps design approaches.
Minimum Qualifications
Preferred Qualifications
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Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide
Real-time MLOps Engineer Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for MLOps Engineer in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 29920 jobs in Singapore and 25486 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in MLOps Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a MLOps Engineer, Data Solutions to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: MLOps Engineer, Data Solutions Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MLOps Engineer, Data Solutions Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for MLOps Engineer, Data Solutions typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your MLOps Engineer, Data Solutions interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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