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

A 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.

Thanks to the Israel Defence 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.