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ML Infrastructure Engineer

ML Infrastructure Engineer
by Admin on 09-26-2022 at 1:57 pm

Website Syntiant

Key responsibilities:

  • Design and build scalable machine learning infrastructure

  • Develop data pipelines and modern big data processing systems

  • Design and build an elastic infrastructure for continuous integration and continuous deployment (CI/CD)

  • Select and configure data storage for efficient ML data management

  • Implement MLOps/DevOps best practices for deployment and monitoring of services


  • Bachelor’s degree in Computer Science, Computer Engineering, or related field

  • 2+ years of professional experience with Amazon Web Services or other cloud providers

  • Experience designing and implementing web and cloud services

  • Experience with modern MLOps tools, such as MLflow, Kubeflow, Airflow, Neptune, Optuna, DataRobot

  • Experience with streaming data and event-driven systems and tools such as Kinesis, Kafka, Flink, Spark

  • Experience with cloud native software delivery and infrastructure as code

  • Passionate about Machine Learning infrastructure

  • Authorized to work lawfully in the United States

  • Generally able to work Pacific Time zone business hours

*To apply, send your PDF resume to join (at) syntiant (dot) com with the subject line “ML Infrastructure Engineer”.

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