Description

You will maintain and improve data pipelines processing large-scale data through machine learning models, owning their stability and evolution.

This role is on-site.

Responsibilities

• Maintain and improve data pipelines for large-scale data processing via ML models.
• Implement system changes for business or regulatory requirements with thorough pre-production testing.
• Supervise pipeline operations for reporting and experimentation, resolving issues as they arise.
• Create regulatory data reports and adjust systems to accommodate changes in data scale.
• Proactively test existing systems to propose improvements and bug fixes.

Required Skills

• 5+ years of experience in software engineering.
• Proficiency in Python.
• Experience with SQL.
• Experience building and maintaining large-scale data processing systems.
• Experience with parallel data processing.
• Experience working alongside MLEs.
• Experience with large-scale data processing and data engineering.

Preferred Skills

• Familiarity with ML systems and data analysis.
• Prior experience at companies such as Meta, Google, Apple, Uber, or Netflix.

Key Skills

Education

ANY GRADUATE