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Apple Machine Learning Engineer - Data Quality India, Karnataka, Bengaluru 30168633
18.03.2025
Description
- 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.- 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
- 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.
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.
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