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217 Apple Jobs

Machine Learning Engineer - Data Quality

3-10 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Engineer - Data Quality

Apple

posted 11hr ago

Job Role Insights

Flexible timing

Job Description

At Apple, we rely on high-quality data to drive critical decisions across our global operations. We are looking for a Machine Learning Engineer with software engineering skills to develop and deploy ML-driven data validation solutions that ensure data integrity. In this role, you will build scalable anomaly detection systems, work on Gen AI projects, collaborate with data engineering teams to enhance data quality frameworks, and drive innovations in MLOps and data monitoring. - Develop ML-based data validation and monitoring solutions, focusing on anomaly detection and explainability. - Analyze large datasets to detect data drift, integrity issues, and emerging quality risks. - Apply the full ML lifecycle, from exploratory data analysis (EDA) and feature engineering to model selection, training, deployment, and monitoring. - Experiment with different methodologies to improve model accuracy and reliability. - Collaborate with data engineering teams to design frameworks for detecting missing, inconsistent, or duplicate data. - Investigate root causes of data quality issues and propose scalable, automated solutions. - Stay up to date with the latest advancements in data science, MLOps, and data engineering best practices.
Minimum Qualifications
Minimum Qualifications
  • 3+ industry experience in building ML solutions and collaborating with software teams.
  • Strong experience in machine learning for anomaly detection, data validation, or data quality improvement.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, etc.).
  • Hands-on experience with SQL and databases (PostgreSQL, Snowflake, MySQL, etc.).
  • Strong knowledge of statistical methods (PCA, exponential smoothing, and etc.) for detecting anomalies, drift, and inconsistencies.
  • Experience with version control (Git) and software development best practices.
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
  • Experience with MLOps tools (MLflow, Kubeflow) for managing data quality models.
  • Exposure to big data frameworks (Spark, Kafka) for real-time data validation.
  • Familiarity with CI/CD for data pipelines and model deployments.
  • Strong problem-solving skills and ability to diagnose complex data issues.
  • Experience working with large-scale structured and unstructured data.
  • Familiarity with data engineering concepts, including ETL pipelines, batch/stream processing.
Education Experience
Education Experience
Additional Requirements
Additional Requirements
More

Employment Type: Full Time, Permanent

Read full job description

Prepare for Machine Learning Engineer roles with real interview advice

Top Apple Machine Learning Engineer Interview Questions

Q1. Kevin and his Fruits Problem Statement Kevin has 'N' buckets, each consisting of a certain number of fruits. Kevin wants to eat at least 'M ... read more
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What people at Apple are saying

Machine Learning Engineer salary at Apple

reported by 4 employees with 3-10 years exp.
₹23 L/yr - ₹55 L/yr
340% more than the average Machine Learning Engineer Salary in India
View more details

What Apple employees are saying about work life

based on 543 employees
65%
45%
42%
97%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Apple Benefits

Job Training
Soft Skill Training
Health Insurance
Team Outings
Work From Home
Education Assistance +6 more
View more benefits

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