Bachelors degree or foreign equivalent degree in Computer Science, Statistics, Economics, Mathematics, Operationbr Research, Analytics or other quantitative field of study, and 2 years of software engineering and machine learningbr work experience.br br Must have 2 years of experience withinbr Architecture and design across dataintensive applications;br Machine learning in a productionbased environment;br Proficiency in at least one programming language, such as Python;br Advanced experience with ML packages, including ScikitLearn, Pandas, Numpy, and PyTorch;br Advanced knowledge of statistics, regression, classification, recommendation systems, AB testing, and causalbr inference algorithms;br Advanced knowledge in relational database and SQL;br Advanced knowledge of AWS ecosystem, including S3, RDS, Athena, and EMR;br Experience working with Product and Data Science teams;br Experience with workflow orchestration tools, including Apache Airflow, and AWS Step Function;br Experience with container technologies such as Docker, Kubernetes, or RKT; andbr Experience with ClCD systems such as Jenkins or Codeship.
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