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 ₪
Were looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.
Key Responsibilities
Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
Edge Optimization: Port and optimize models for Edge Deployment.
Data Reliability: Build tools for automated data collection in changing environments.
Skills: Problem Solver, Team Player.
Key Responsibilities
Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
Edge Optimization: Port and optimize models for Edge Deployment.
Data Reliability: Build tools for automated data collection in changing environments.
Skills: Problem Solver, Team Player.
Requirements:
Experience: 4+ years of professional experience in Computer Vision and algorithms development.
Computer Vision Fundamentals: Deep mastery of Classic CV (image filtering, feature extraction, geometry) alongside modern Deep Learning.
Model Specialization: Proven track record in Object Detection, Image Classification, and Object Tracking in dynamic environments.
Software Toolkit: Expert-level proficiency in Python, PyTorch, and OpenCV. with a strong understanding of Linux/ARM architectures
Preferred Qualifications
Programming: Proficiency in C / C++ for performance-critical modules.
Environment: Strong command of Linux, Docker, and Arm-based systems.
Audio Signal Processing: Implement ML pipelines for audio feature extraction and classification.
Streaming: Knowledge of Video Streaming protocols and low-latency video processing (RTSP, GStreamer).
Experience: 4+ years of professional experience in Computer Vision and algorithms development.
Computer Vision Fundamentals: Deep mastery of Classic CV (image filtering, feature extraction, geometry) alongside modern Deep Learning.
Model Specialization: Proven track record in Object Detection, Image Classification, and Object Tracking in dynamic environments.
Software Toolkit: Expert-level proficiency in Python, PyTorch, and OpenCV. with a strong understanding of Linux/ARM architectures
Preferred Qualifications
Programming: Proficiency in C / C++ for performance-critical modules.
Environment: Strong command of Linux, Docker, and Arm-based systems.
Audio Signal Processing: Implement ML pipelines for audio feature extraction and classification.
Streaming: Knowledge of Video Streaming protocols and low-latency video processing (RTSP, GStreamer).
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.
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