עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Here are a few of the things you will do:
Own the end‑to‑end ML lifecycle: design, build, and operate data ingestion, feature‑store, training, evaluation, CI/CD, and low‑latency serving pipelines that power AI experienceslead qualification, generative content, conversational assistance, and more.
Collaborate deeply with AI researchers, engineering managers, and product managers to transform product ideas into reliable, scalable ML systems, iterating quickly from prototype to production.
Advance our MLOps platform by developing orchestrations, model registries, automated monitoring, and retraining workflows that enable shipment of AI features autonomously and safely.
Elevate engineering culture through code reviews, documentation, mentorship, and promoting experimentation and data‑driven decision making.
5+ years building data‑intensive or distributed production systems with Python and relevant ML ecosystems, shipping production software.
3+ years deploying machine‑learning models (classical and/or LLM) in cloud environments (AWS/GCP/Azure) with containers and Kubernetes.
Hands‑on experience with MLOps toolstooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Feast or equivalent).
Proven track record creating robust data/feature pipelines for ML and instrumenting real‑time monitoring for drift and performance.
Strong software‑engineering fundamentals: version control, automated testing, CI/CD, security, and cost awareness.
Excellent collaboration and communication skills in Hebrew and English; comfortable working closely with cross‑functional partners and mentoring peers.
Mindset of ownership, curiosity, and bias for action in a fast‑moving environment.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.