ML Data Engineer (Feature Pipeline & ETL)

McAfee

McAfee, a leading name in personal security solutions, aims to shield individuals and families in today's digital age. Joining their AI and Machine Learning team as an ML Data Engineer, this role focuses on crafting scalable data pipelines for personalized user experiences. The team prioritizes advanced analytics and real-time model serving through efficient data management.

In this role you can expect to have the responsibilities:

• Develop and maintain ML feature engineering pipelines using Databricks.
• Integrate various data sources to enhance data quality and performance.
• Build ETL/ELT pipelines in line with medallion architecture layers.
• Support ML model training and use MLflow for tracking experiments.
• Design low-latency pipelines for real-time model inference.
• Apply CI/CD practices to streamline pipeline deployments.
• Align data ingestion with business goals by collaborating with other teams.

This role comes with the following benefits:

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

This role requires you to have:

• 4+ years in data engineering with ML focus.
• Databricks proficiency and medallion architecture understanding.
• Experience with Apache Spark, Python, and SQL.

You would benefit from having:

• MLflow experience for model training
• CI/CD practices in ETL/ELT
• Metadata and master data management knowledge

McAfee emphasizes diversity and inclusion, offering flexible working conditions and a supportive work environment. The company enforces a strict non-discrimination policy.