8+ years of professional experience as an AI/ML Engineer, with a focus on generative AI and machine learning.
Bachelor's degree in a related field or equivalent combination of education and work experience.
Experince with canonical standards.
Strong understanding of large language models (LLMs) and their applications in AI.
Experience with Agent + RAG system and its application in data science and AI.
Proficiency in Python/R programming languages and popular machine learning libraries such as langchain, scikit-learn, TensorFlow, and PyTorch.
Experience with data visualization tools such as Tableau, Power BI, and others.
Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku.
Graph experience is required, including graph databases, graph algorithms, and graph-based data analysis.