Bachelor's degree in Science, Technology, Math, Engineering, or equivalent practical experience.
10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition).
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 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 designing and deploying with one or more of 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 in systems design, with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.