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python kubernetes tensorflow pytorch mlops๐ Description
- You will join a dynamic, diverse team building key features for customers.
- Own the full ML lifecycle, from research to production deployment and retraining.
- Establish robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems.
- Address scale and performance challenges; ensure ML/AI models meet latency.
- Set technical direction as a senior IC and mentor junior engineers.
- Quality is the forefront; assist with automated testing (unit, integration, functional).
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