Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
5 years of experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition).
Experience working with 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 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 image and video processing, object detection, segmentation, classification, and related algorithms.
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, ML pipelines, and ML training and serving approaches.