Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
1 year of experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
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 in one or more from the following Machine Learning (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 distributed training and optimizing performance versus costs.
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 capability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.