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This is a high?impact, hands-on role within a small, elite team responsible for building and deploying advanced ML-driven trading signals and data?powered insights used across the companys core products.
You will work closely with a global manager and collaborate with two additional ML engineers, contributing directly to the next generation of data, modeling, and signal?generation infrastructure.
This position is ideal for someone who combines strong ML engineering fundamentals with curiosity for market data, experimentation, and production?grade deployment.

Build and maintain complex SQL-based pipelines for modeling datasets
Design and execute large?scale experiments with proper cross?validation, leakage control, calibration, and reproducible backtesting
Develop ML models using state?of?the?art techniques and deploy them into production environments

About the company:
Were a fast-growing SaaS startup (around 50 employees), with a young, dynamic, and idea-driven culture.
Our platform provides advanced solutions for email marketing, newsletters, SMS campaigns, landing pages, Marketing Automation, and complex customer journeys.
We serve a wide range of clients - from SMBs to large enterprise and institutional organizations in Israel and abroad.

Responsibilities:

Actively participate in all stages of the development lifecycle: requirements analysis, architecture design, coding, and code reviews.

Develop large-scale applications and systems across cloud and distributed environments.

Maintain high standards of software quality through unit tests, integration tests, documentation, and CI/CD processes.

Troubleshoot and resolve complex issues, ensuring stability and performance in production environments.