Associate Engineer, Analytical AI Engineering

What you'll do

• Implement data pipelines, ML workflow components, and platform features following established architecture patterns.
• Write readable, maintainable, and testable code with limited guidance after initial design alignment.
• Deliver well-scoped engineering work reliably and on schedule.
• Write and maintain tests for all work to ensure stability before deployment.
• Troubleshoot issues within assigned pipelines and features to identify root causes and propose solutions.
• Navigate the codebase and data designs with growing independence.
• Explain technical work clearly to teammates, including design choices and trade-offs.
• Contribute input to team scoping and design exercises to improve recurring problem approaches.

What we're looking for

• BA/BS required (quantitative or engineering discipline preferred).
• 0-2 years of experience in data engineering, software engineering, ML engineering, or a related field.
• Proficiency in Python and SQL.
• Working knowledge of version control (Git), testing practices, code review, and documentation.
• Exposure to cloud environments such as AWS, Azure, or Databricks.
• Familiarity with ML concepts and workflows (model training, feature engineering, data preparation).
• MLOps experience (preferred).
• Ability to work effectively within team guidelines and build positive working relationships.