Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using Operational Support Systems (OSS) frameworks (e.g., TensorFlow, PyTorch).
Experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
Experience delivering technical presentations and leading business value sessions.
Preferred qualifications:
Master's degree in Computer Science, Engineering, or a related technical field.
Experience designing and deploying one or more from the following Machine Learning frameworks: TensorFlow, PyTorch, JAX, Spark Machine Learning, 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 Machine Learning Operations and Large Language Model Operations including automation with IaC.
Experience with distributed training and optimizing performance versus costs.
Experience in systems design with the ability to architect and explain data pipelines, Machine Learning pipelines, Machine Learning training and serving approaches.