Bachelors degree in Engineering, Computer Science, Mathematics, or a related field, and 5 years of work experience in developing and deploying machine learning engineering systems into production; OR Masters degree in Engineering, Computer Science, Mathematics, or a related field, and 3 years of work experience in developing and deploying machine learning engineering systems into production.br br Employer also requires 3 years of experience in each of followingbr br Developing and maintaining continuous integration and continuous deployment CICD pipelines;br Utilizing programming languages, including Python, SQL, C, C, Scala, or Java;br Working with data manipulation Application Programming Interfaces APIs, including PySpark, pandas, or Dask;br Utilizing database technologies, including traditional RDBMS PostgreSQL, analytics databases AWS Redshift, NoSQL MongoDB, redis andor distributed computing frameworks Spark, Hadoop;br Working with cloud platforms AWS, Azure, or GCP;br Utilizing containerizing applications and orchestration technologies, including Docker and Kubernates;br Utilizing Machine Learning tools, including scikitlearn, XGBoost, Pytorch, or Tensorflow; andbr Utilizing workflow management tools, including Terraform or Github.br Travel International travel required up to 20; Domestic travel required up to 20br br Any suitable combination of education, training, or experience is acceptable.
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