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Premium Employer

Apple

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4.3

based on 531 Reviews

173 Apple Jobs

Machine Learning Engineer - Apple Store Online

Apple India Pvt Ltd

4.3

based on 531 Reviews

3-10 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Engineer - Apple Store Online

Apple

posted 3d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Machine Learning C++ Big Data

+ 2 more

Job Description

To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You ll mentor other MLE s and lead an effort to build scalable end-to-end machine learning solutions for our retail customers Responsibilities : - Design and Develop software components across ML stack that enables attribution from pipelines to tooling - Collaborate and work closely with other ML Engineers and Attribution teams - Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering

Minimum Qualifications

8+ years of related experience building high throughput scalable applications or building machine learning models
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems
Hands on SQL and experience with Big Data Technologies
Skilled in communication, problem solving, strategic thinking
Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience

Key Qualifications

Preferred Qualifications

Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, Flink, SQL, Snowflake/Hadoop, etc
Experience operationalizing distributed applications
Experience building full stack applications for big data analysis, feature extraction and annotations

Education & Experience

Additional Requirements