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docker python tensorflow pytorch rest apis📋 Description
- Build and deploy ML models and data pipelines in production.
- Monitor production models; detect drift and retrain as needed.
- Build, finetune, or use pre-trained LLMs and ML models.
- Scale AI/ML services via optimization and accelerators.
- Evaluate AI/ML solutions using vendor or custom models.
- Provide architectural direction for data, ML, and software teams.
🎯 Requirements
- 5+ years building and scaling ML in cloud environments.
- 7+ years programming in Python/Scala.
- 4+ years developing DL and ML models (PyTorch, TensorFlow, scikit-learn).
- Experience building, documenting, and supporting REST APIs.
- Degree in Computer Science, Engineering, or related field, or equivalent.
- Legally eligible to work in the U.S. on an ongoing basis.
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