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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

Machine Learning Engineer

G-STAT

תל אביב - יפו

Machine Learning Engineer

G-STAT

תל אביב - יפו
מלאה, היברידית
18,000-25,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

Direct employment by the client – Company employee from Day 1.

A leading company is seeking an experienced ML Engineer for an end-to-end role combining Machine Learning and Cloud Infrastructure. In this position, the selected candidate will be responsible for the entire lifecycle, from initial data processing to production deployment.

Key Benefits

Direct Employment: Company employee from Day 1.
Hybrid Work Model: Offering flexibility and balance.
Advanced Technology: Opportunity to work on advanced systems with real business impact.

Key Responsibilities

End-to-End Pipelines: Design, build, and maintain end-to-end ML and ETL pipelines, including data extraction, processing, model training, validation, and deployment.
Production & Deployment: Own the model deployment process, utilizing Docker for containerization and setting up robust production environments.
CI/CD & GitOps: Work closely with DevOps teams, continuously managing deployment workflows using Git-based CI/CD tools.
R&D Collaboration: Support the research and development of pricing and risk models, including supervised and unsupervised learning, segmentation, behavioral pricing, and scoring models.

Requirements

Education: B.Sc. in Computer Science, Engineering, or a related quantitative field.
Experience: At least 2 years of experience in a similar role managing ML systems in production environments – Must.
Cloud Infrastructure: Significant, hands-on experience building and operating ML pipelines on AWS – Must.
Tech Stack Mastery: Practical proficiency with Docker, Kubernetes, Git, and CI/CD processes – Must.
Development Skills: Strong proficiency in Python with proven experience writing production-grade ML code – Must.