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analytics python ai observability ml📋 Description
- Design and implement AI systems with structured interfaces and robust error handling.
- Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure.
- Develop evaluation and scoring systems to improve model output quality.
- Integrate with internal and external services (ticketing, observability).
- Collaborate with cross-functional teams to translate requirements into AI solutions.
- Architect and maintain production-grade AI solutions focused on scalability and reliability.
🎯 Requirements
- BS in relevant engineering discipline and 4+ years of experience
- Software development; strong Python with AI/ML applications
- Familiarity with AI agents: prompt design, tool calling, context management, evaluation
- Experience or strong interest in Data Science and Engineering
- Experience creating Analytical or AI/ML models for real-world problems
- Bonus: familiarity with major LLM providers and AI integration into apps
🎁 Benefits
- Comprehensive benefits package including health insurance and paid time off
- Stock-based rewards (RSUs) and Zoox Stock Appreciation Rights
- Hybrid work environment with flexible scheduling
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