Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
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