Job Description
Responsibilities
- Own and enhance AI metrics pipelines, improving scalability, reliability, and data quality
- Troubleshoot and resolve pipeline issues, coordinating with internal teams and external vendors
- Extend data pipelines to support new products, use cases, and stakeholders
- Design and build analytics and visualization solutions (e.g., dashboards, reporting tools, data access layers)
- Partner with product, engineering, and AI teams to define and refine meaningful performance metrics
Requirements
- 3–5 years of professional software engineering experience or equivalent
- Strong programming skills in Python, TypeScript, or similar languages
- Experience building, maintaining, or operating data pipelines or backend systems
- Experience working with APIs, data processing systems, and debugging production issues
- Familiarity with cloud environments (e.g., AWS, GCP) and modern data tooling
Skills
- Software Engineering
- AI Metrics
- Data Pipelines
- Analytics Solutions
- Python
- TypeScript
- Cloud Environments
- Data Visualization
- Collaboration
- Problem Solving
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