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Machine Learning Engineer || Austin TX Hybrid || NO H1B at Austin, Texas, USA

Email: [email protected]

Hi, Hope you are doing great! Please check the below requirement and send me your updated Resume Machine Learning Engineer HYBRID (Austin, TX) No H1B Skype Experience in implementing data pipelines using Python  Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies Automate end-to-end ETL/ML pipelines with structural understanding of data products. Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie Experience with query APIs using JSON, Protocol Buffers, or XML Experience with Unix-based command line interface and Bash scripts Cloud computing Backend development Automate, deploy and maintain ML pipelines into existing cloud resources. Work with team members to assist with data-related technical issues and support their data product needs. Work with team members to evaluate and improve existing ML system and models. Experience with computer vision or natural language processing a plus. Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus Data visualization or web development skills a plus Education Bachelors in computer science or engineering; PhD preferred Piyush Varshney Sr Technical Recruiter |Vyze Inc. Phone : +1 703 982 7189 E -Mail : [email protected] Hangout : Piyush.vyze36 Instagram  LinkedIn   linkedin.com/in/piyush-v- -0852a4218 Disclaimer : This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] -- Keywords: machine learning information technology Texas

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Mon Sep 18 18:43:00 UTC 2023

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