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.
מלאה
20,000-30,000 ₪
we are looking for a ML Engineer.
As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready-helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of peoples wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.
As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready-helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of peoples wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.
Requirements:
5+ years of industry experience in ML Infrastructure, Backend Engineering, or related fields
Strong Python experience with production-grade systems
Experience working with cloud platforms (AWS, GCP, or Azure)
Experience with containerization technologies (Docker, Kubernetes)
Experience building CI/CD pipelines for ML systems or backend services
Experience supporting LLM deployment or ML models in production
Familiarity with model versioning, experiment tracking, and ML tooling
Some nice to haves are:
Experience with prompt engineering and prompt management
Experience with data versioning tools (DVC, Pachyderm, etc.)
Experience with MLOps platforms (MLflow, Kubeflow, etc.)
5+ years of industry experience in ML Infrastructure, Backend Engineering, or related fields
Strong Python experience with production-grade systems
Experience working with cloud platforms (AWS, GCP, or Azure)
Experience with containerization technologies (Docker, Kubernetes)
Experience building CI/CD pipelines for ML systems or backend services
Experience supporting LLM deployment or ML models in production
Familiarity with model versioning, experiment tracking, and ML tooling
Some nice to haves are:
Experience with prompt engineering and prompt management
Experience with data versioning tools (DVC, Pachyderm, etc.)
Experience with MLOps platforms (MLflow, Kubeflow, etc.)
This position is open to all candidates.
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.
תל אביב - יפו
ערב
7 חודשים
סבסוד
