Bachelor's degree in Computer Science or equivalent practical experience.
5 years of experience building machine learning solutions and working with technical customers.
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
Preferred qualifications:
Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience with deep learning frameworks (e.g., Tensorflow, PyTorch, XGBoost).
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, Pig, Hive, MapReduce, Flume).
A solid understanding of the auxiliary practical concerns in production machine learning systems.