Bachelor's degree or equivalent practical experience.
6 years of experience in building machine learning solutions and working with technical customers.
Experience with coding in general purpose languages (e.g., Python, Java, C++) including data structures and algorithms, and designing cloud enterprise solutions, and supporting customer projects to completion.
Experience in testing, maintaining, or launching software products, including software design and architecture.
Ability to communicate in English and Mandarin to support client relationship management in this region.
Ability to work non-standard hours, including working weekends, night shifts, holidays as required.
Preferred qualifications:
Experience in 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, Extract, Transform, and Load/Extract, Load and Transform (ETL/ ELT) and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Knowledge of the auxiliary queries in machine learning systems.