Preferred qualifications:
- 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.