Position: Machine Learning Engineer
Company: Newxel
Experience required: 5y
English level: intermediate

As an ML 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

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.