This candidate will work closely with the Data scientist to help put large scale models into production. They will be working with large datasets and will be helping provide solutions for machine learning batch inferences and/or real time inferences. a) Expertise in providing solutions for machine learning batch inference and/or real time inference. b) Expertise in big data technologies specific to Machine learning . c) Expertise in large scale machine learning deployments with Docker / Kubernetes and setting up inference servers. d) Expertise in ML operations with Azure ML Ops or Kube flow or goccd. Big Data/Hadoop Technologies: Apache SPARK, Spark SQL, Scala, Hive, Data Bricks Scripting Languages: Unix Shell Scripting, SQL, Python Programming Languages: Scala, Python, Pig Latin, HiveQL. Bigdata Distributions: Cloudera Manager, Hortonworks Databases: Teradata, Cassandra,, Microsoft SQL Server, MySQL, Hadoop File System. Operating Systems: Unix, Windows, Linux, Ubuntu. Desired Skills and Experience - 3+ years of experience with Machine Learning/Data Engineering - Experience using Big Data technologies specific to Machine Learning (Apache SPARK, Spark SQL, Scala, Hive, Data Bricks) - Expertise in large scale machine learning deployments with Docker/Kubernetes and setting up inference servers.
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