---
title: Computer Vision Engineer
description: Computer Vision Engineer
---

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 22 ביוני 2026, 4:02:56

# Computer Vision Engineer

[EQ](https://careers.equashield.com/he/jobs/author/eq)

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 At **Equashield**, we are pioneers in hazardous drug safety, revolutionizing the way healthcare providers handle and administer medication with best-in-class **CSTD and pharmacy automation through robotics**.  
We are seeking a talented **Computer Vision Engineer** to join our **Automation** division and lead the development of computer vision and machine learning systems that give our robots the ability to ***see*** and operate with precision in real-world pharmacy environments. Your work will directly impact patient safety by enabling accurate, intelligent, and reliable medical robotics.

## What You'll Do

- Design and develop computer vision pipelines for object detection, recognition, classification, and anomaly detection from live and recorded camera feeds.
- Integrate perception algorithms with robotic control systems to improve automation accuracy and real-time responsiveness.
- Develop and optimize ML models for deployment in embedded and real-time robotic environments.
- Collaborate closely with software, hardware, QA, and product teams to embed vision capabilities into end-to-end automation workflows.
- Build and maintain MLOps workflows including model versioning, evaluation, and continuous validation.
- Document models, experiments, and validation processes in compliance with regulatory and audit requirements.
- Contribute to architecture decisions, code quality standards, and engineering best practices across the team.

## What You Bring

- B.A./B.Sc. in Computer Science, Electrical Engineering, or a related technical field.
- 3–6 years of hands-on experience in computer vision and/or machine learning engineering.
- Strong Python development skills — clean, modular, production-ready code.
- Deep knowledge of computer vision frameworks and tools (OpenCV, Pillow, torchvision, or similar).
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
- Solid understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, validation metrics.
- Experience integrating vision or ML models into real-time systems or backend services via REST APIs.
- Ability to work both independently and collaboratively within a multidisciplinary team.
- A curious, rigorous mindset with a passion for applying data-driven solutions to real-world challenges.

## Nice to Have

- Experience deploying ML models to production environments (Docker, containers, REST services, edge devices).
- Background in real-time image processing, 3D vision, or depth sensing (stereo cameras, structured light, time-of-flight).
- Experience with cloud ML platforms (AWS SageMaker, Azure ML, Google Vertex AI).
- Knowledge of robotics systems, control loops, or hardware–software integration.
- Familiarity with regulated or medical device software environments (ISO 13485, IEC 62304).
- Experience working with agentic AI systems and understanding model behavior in automated pipelines.

If you are excited by complex visual and data challenges, real-world robotics, and the opportunity to make a difference in healthcare safety — we’d love to hear from you.  
**Apply now and help bring vision to automation.** 

[הגשת מועמדות](https://campaign.adamtotal.co.il/?d=qaBMek2Y2RtapqAqpk0w0g%3d%3d)

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---

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