4 листопада 2022

ML Platform Engineer

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As an ML Platform Engineer, you will work closely on a cross-functional team with ML engineers and Data engineers to deploy real-time models at scale and build systems/tooling to support advanced use cases and increase development velocity.

You will build the next generation ml platform developing systems for ml development lifecycle, continuous training, real-time feature stores and more.

Requirements

  • Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
  • Strong software engineering skills in complex real-time systems
  • Fluency in Python
  • Experience working with AWS cloud technologies such as Sagemaker or equivalent
  • Familiarity with orchestration tools such as airflow and mlflow
  • Exposure to machine learning methodology and best practices

Responsibilities

  • Design the data pipelines and engineering infrastructure to support machine learning systems at scale
  • Develop and deploy scalable tools and services to handle machine learning training and inference
  • Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems
  • Support model development, with an emphasis on reproducibility, versioning, and data quality
  • Communicate with stakeholders to build requirements and track progress

What we offer

  • Competitive salary
  • 20 working days paid vacation
  • Medical insurance
  • Remote

About the project

Worldwide anti-phishing company introduces a very secure email platform (powered by AI and ML) that provides an innovative solution to prevent fraud and email attacks.

With the help of the Israel Defense Forces and a top incubator program, this award-winning platform helps prevent and block any attacks in the fastest way.

The company provides all types of businesses with a complete solution against any kind of phishing attack in the mailbox.

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