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
25,000-35,000 ₪
Does building the next generation of AI/ML platforms excite you?
Do Big Data challenges and open-source innovation speak your language?
Join our Aegis team
Aegis is an end-to-end Big Data AI/ML platform built on top of Linode. It bridges the gap between research and production, enabling teams to innovate faster and deliver ML products more efficiently. We leverage open-source tools and AI accelerators to avoid reinventing the wheel integrating across platforms where it matters most.
Make a difference in your own way
You'll join our growing Engineering group, working hands-on to shape a powerful, flexible ML platform that supports real-world, large-scale data and AI workflows. You'll be a key contributor to an environment that spans Kubernetes, Spark, MLFlow, JupyterHub, and PyTorch and that pushes the boundaries of performance and collaboration.
In this role you will be:
Designing and implementing scalable data and ML pipelines using Spark, MLFlow, and Kubernetes
Building platform components in Python or Scala to connect research and production environments
Integrating with orchestration tools such as Argo Workflows (or equivalents)
Supporting hybrid data environments across S3/ADLS and cloud/on-prem compute
Collaborating with researchers and MLOps engineers to deliver reproducible and high-performance workflows.
Do Big Data challenges and open-source innovation speak your language?
Join our Aegis team
Aegis is an end-to-end Big Data AI/ML platform built on top of Linode. It bridges the gap between research and production, enabling teams to innovate faster and deliver ML products more efficiently. We leverage open-source tools and AI accelerators to avoid reinventing the wheel integrating across platforms where it matters most.
Make a difference in your own way
You'll join our growing Engineering group, working hands-on to shape a powerful, flexible ML platform that supports real-world, large-scale data and AI workflows. You'll be a key contributor to an environment that spans Kubernetes, Spark, MLFlow, JupyterHub, and PyTorch and that pushes the boundaries of performance and collaboration.
In this role you will be:
Designing and implementing scalable data and ML pipelines using Spark, MLFlow, and Kubernetes
Building platform components in Python or Scala to connect research and production environments
Integrating with orchestration tools such as Argo Workflows (or equivalents)
Supporting hybrid data environments across S3/ADLS and cloud/on-prem compute
Collaborating with researchers and MLOps engineers to deliver reproducible and high-performance workflows.
Requirements:
To be successful in this role you will:
Have 4+ years of experience in backend or data platform development
Be proficient in Python or Scala
Have experience with at least one of: Spark, MLFlow, or Kubernetes
Understand principles of Big Data processing and distributed systems
Bring familiarity with the ML lifecycle and related tools (Feature Stores, model tracking, etc.)
Have experience with Argo Workflows or similar orchestration tools
Be motivated, curious, and thrive in a collaborative and high-ownership environment.
To be successful in this role you will:
Have 4+ years of experience in backend or data platform development
Be proficient in Python or Scala
Have experience with at least one of: Spark, MLFlow, or Kubernetes
Understand principles of Big Data processing and distributed systems
Bring familiarity with the ML lifecycle and related tools (Feature Stores, model tracking, etc.)
Have experience with Argo Workflows or similar orchestration tools
Be motivated, curious, and thrive in a collaborative and high-ownership environment.
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.
משרות נוספות מומלצות עבורך
-
Senior Data Engineer
-
תל אביב - יפו
רפאל
-
-
Staff Data Engineer
-
תל אביב - יפו
Medulla
-
-
Sr. Data Engineer, Cloud Security (Hybrid, ISR)
-
תל אביב - יפו
CrowdStrike
-
-
Senior Data Engineer, GenAI Platform
-
פתח תקווה
Cellebrite
-
-
Senior Data Engineer
-
קרית שמונה
סינרגיה אקלימית צפונית בע"מ
-
-
Senior Data Engineer
-
רמת גן
HighTech Company
-
