Bachelor's degree or equivalent practical experience.
2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting.
Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.).
Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
Understanding of AI Models, Large Language Models, and AI specialized infrastructure as it relates to AI trends and issues within businesses.
Understanding of responsible AI practice.
Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space.