Apple Hiring Machine Learning Engineer Job 2025

Job Title: Machine Learning Engineer - Data Quality

Location: Bengaluru, Karnataka, India

Department: Operations and Supply Chain 

Role Number: 200594546

Posted Date: Mar 11, 2025

Join Apple’s Data Management Team and Shape the Future of Reliable Data in the Manufacturing Space!

At Apple, we believe that great decisions start with great data. Our Data Quality team within Operations is looking for a Machine Learning Engineer with a strong Software Engineering background to help ensure the integrity, accuracy, and reliability of mission-critical data.

In this role, you will design and build scalable ML-driven solutions for data validation, anomaly detection, and quality monitoring—helping Apple’s global operations run with precision and confidence. If you're passionate about applying cutting-edge machine learning to solve real-world data challenges at scale, join us in pushing the boundaries of what’s possible.

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 work on Gen AI projects, collaborate with data engineering teams, and drive innovations in MLOps and data monitoring.

Key Responsibilities:

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:

3+ years of 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, 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.

Why Join Apple?

At Apple, we believe in creating a collaborative and innovative environment where the best minds come together to solve complex challenges. We offer competitive compensation, growth opportunities, and a chance to work on projects that impact global operations. If you are passionate about machine learning, data quality, and AI-driven solutions, this is the perfect opportunity for you!

Apply now and be a part of Apple's world-class team!