Backend Engineer (Algorithms and ML Integration)

We are looking for a Backend Engineer to join our Data Science team.

In this role, you will partner directly with Data Scientists to transition research prototypes into efficient, production-ready microservices. You will collaborate with a broad forum of experts including architects, data engineers, and product managers, to deliver high-quality technical solutions that drive our product forward.

Responsibilities
Model Tech-Transfer: Transition research prototypes (from Data Scientists) into efficient, production-ready microservices.
Pipeline Management: Build and maintain automated pipelines for data collection, model training, and deployment (using Jenkins & Airflow).
Infrastructure Ownership: Deploy, tune, and manage AWS cloud resources (EC2, S3, ElastiCache) for low latency and high availability.
Monitoring and Evaluation: Implement monitoring for model performance (accuracy, statistical calibration) and Business Performance (adherence with company KPI, business impact).
Quality

דרישות:

Backend Engineering: 2+ years of Python and SQL development experience. Proven ability to design and build components for a microservices architecture, write high-performance code, and utilize numerical computing libraries (e.g., NumPy).
MLOps: Proven experience operationalizing machine learning models, including building automated training and inference pipelines, model deployment, and monitoring models in production.
System Design: Extensive, hands-on experience designing, building, and optimizing scalable systems for high-traffic, low-latency environments.
Cloud & DevOps: Experience working with containerization (Docker) and CI/CD pipelines (e.g., Jenkins).
Cross-Functional Collaboration: Strong ability to translate abstract research concepts and product requirements into clear, actionable technical specifications.
Advantage: Hands-on experience with data orchestration tools, particularly Apache Airflow. המשרה מיועדת לנשים ולגברים כאחד.