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machine learning distributed systems observability containerization📋 Description
- Design, build, and improve AI deployment systems.
- Package, version, promote, and rollback model artifacts.
- Develop deployment/release pathways for AI services.
- Enable shadow-serving and staged rollouts.
- Improve runtime observability and debugging for model-backed systems.
🎯 Requirements
- Bachelor’s degree in Computer Science or Engineering, or equivalent.
- 2–6 years of professional software engineering experience.
- Strong production code experience and fundamentals.
- Experience in ambiguous cross-functional environments.
- Expertise in reproducibility, operability, and rollout safety.
🎁 Benefits
- Work at the center of AI transformation in business communications.
- Build and ship agentic AI products.
- Competitive salary, comprehensive benefits, and growth.
- Great Place to Work recognized culture and collaboration.
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