Experience with graph algorithms and graph-based machine learning.
Experience with AWS infrastructure (S3, CFTs, EC2), security and data and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and/or practical experience.
Experience in working in Model development and deployment lifecycle using ML infrastructure and MLOps in the Cloud (AWS preferred).
Superior SQL skills and experience developing data transformation pipelines multiple database platforms
Bachelor's or master's degree in computer science, Data Science, or related field.