Managing and optimizing sports data intelligence.
Developing and maintaining educational content frameworks.
Implementing strict validation and safety guardrails.
Overseeing comprehensive quality measurement.
Creating and executing automated testing.
Driving and refining continuous improvement processes.
QA, Evaluation & Benchmarking: Explicitly owning the quality, evaluation, benchmarking, and continuous improvement framework of the AI generation system.
Cross-Functional Collaboration.
End-to-End Ownership: Taking clear, end-to-end ownership of your work, going beyond a general "startup mindset" to ensure successful delivery.
Workflow & Documentation: Operating within Agile/Kanban workflows and maintaining lightweight documentation and visibility as part of the normal delivery process.
C1 English proficiency.
+5 years of experience working with Python and REST APIs, with specific expertise in integrating AI/LLM APIs (e.g., OpenAI, Anthropic) and structured data processing.
+5 years of experience in Data Analysis, with a strong preference for SQL.
+3 years of hands-on experience designing, building, and maintaining AI Systems (specifically AI/LLM).
+2 years of specialized experience in Sports Data & Analytics.
Remote work opportunities
Flexible schedules
Professional growth
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