Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. We are looking for a competent, experienced, and driven machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple. As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems. YOU SHOULD BE ABLE TO: - Understand a business challenge - Collaborate with business and other multi-functional teams - Design a statistical or deep learning solution to find the needed answer to it. - Develop it by yourself or guide another person to do it. - Deliver the outcome into production, (v) Keep a good governance of your work. There are meaningful opportunities for you deliver impactful influences to Apple.
Locations
- Hyderabad, Telangana, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 5,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning engineeringintermediate
- building intelligent systemsintermediate
- AI model developmentintermediate
- AI system deploymentintermediate
- ML infrastructure implementationintermediate
- data storageintermediate
- data processingintermediate
- model servingintermediate
- feature engineeringintermediate
- data augmentationintermediate
- prompt engineeringintermediate
- model fine-tuningintermediate
- automated ML pipelinesintermediate
- data preprocessingintermediate
- model trainingintermediate
- hyper-parameter tuningintermediate
- model evaluationintermediate
- model compressionintermediate
- model optimizationintermediate
- brainstorming POCsintermediate
- AI/ML servicesintermediate
- business challenge understandingintermediate
- collaboration with multi-functional teamsintermediate
- statistical solution designintermediate
- deep learning solution designintermediate
- solution developmentintermediate
- production deliveryintermediate
- work governanceintermediate
- data scienceintermediate
- analyticsintermediate
- reportingintermediate
Responsibilities
- As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance.
- Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems.
- YOU SHOULD BE ABLE TO:
- - Understand a business challenge
- - Collaborate with business and other multi-functional teams
- - Design a statistical or deep learning solution to find the needed answer to it.
- - Develop it by yourself or guide another person to do it.
- - Deliver the outcome into production, (v) Keep a good governance of your work.
- There are meaningful opportunities for you deliver impactful influences to Apple.
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Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
10 Questions
~2 Minutes
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Related Books and Jobs
Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of an end-to-end machine learning platform with sophisticated AI capabilities. We are looking for a competent, experienced, and driven machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple. As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems. YOU SHOULD BE ABLE TO: - Understand a business challenge - Collaborate with business and other multi-functional teams - Design a statistical or deep learning solution to find the needed answer to it. - Develop it by yourself or guide another person to do it. - Deliver the outcome into production, (v) Keep a good governance of your work. There are meaningful opportunities for you deliver impactful influences to Apple.
Locations
- Hyderabad, Telangana, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 5,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning engineeringintermediate
- building intelligent systemsintermediate
- AI model developmentintermediate
- AI system deploymentintermediate
- ML infrastructure implementationintermediate
- data storageintermediate
- data processingintermediate
- model servingintermediate
- feature engineeringintermediate
- data augmentationintermediate
- prompt engineeringintermediate
- model fine-tuningintermediate
- automated ML pipelinesintermediate
- data preprocessingintermediate
- model trainingintermediate
- hyper-parameter tuningintermediate
- model evaluationintermediate
- model compressionintermediate
- model optimizationintermediate
- brainstorming POCsintermediate
- AI/ML servicesintermediate
- business challenge understandingintermediate
- collaboration with multi-functional teamsintermediate
- statistical solution designintermediate
- deep learning solution designintermediate
- solution developmentintermediate
- production deliveryintermediate
- work governanceintermediate
- data scienceintermediate
- analyticsintermediate
- reportingintermediate
Responsibilities
- As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance.
- Have continuous focus to Brainstorm and Design various POCs using AI/ML Services for new or existing enterprise problems.
- YOU SHOULD BE ABLE TO:
- - Understand a business challenge
- - Collaborate with business and other multi-functional teams
- - Design a statistical or deep learning solution to find the needed answer to it.
- - Develop it by yourself or guide another person to do it.
- - Deliver the outcome into production, (v) Keep a good governance of your work.
- There are meaningful opportunities for you deliver impactful influences to Apple.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs