Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience.
5 years of coding experience in one or more general purpose languages (e.g., python, Java, or C++).
Experience working in a cloud environment (e.g., Google Cloud).
Experience building ML models for different use cases such as tabular data, images, video, speech, or unstructured text.
Preferred qualifications:
Master's degree or PhD in Computer Science, Mathematics, or other quantitative fields.
Experience building production ML models with TensorFlow, Keras, Pytorch, JAX, Spark ML, or Scikit Learn.
Experience conducting Data and ML technical training or client-facing technical consulting role.
Experience working in a fast-moving technology area, while being comfortable working in a dynamic and sometimes ambiguous environment
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive).