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Computer Vision Engineer
·Israel
On-siteFull-timeAI & Machine LearningMedical Equipment Manufacturing
Develop computer vision and machine learning systems for medical robotics, enabling precise perception in pharmacy environments. Design pipelines for object detection, recognition, and anomaly detection; integrate perception with robotic control; and maintain MLOps workflows.
Responsibilities
- Design computer vision pipelines for object detection, recognition, classification, and anomaly detection from 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 with software, hardware, QA, and product teams to embed vision capabilities into automation workflows.
- Build and maintain MLOps workflows including model versioning, evaluation, and continuous validation.
- Document models, experiments, and validation processes to meet regulatory and audit requirements.
- Contribute to architecture decisions, code quality standards, and engineering best practices.
Requirements
- B.A./B.Sc. in Computer Science, Electrical Engineering, or related technical field.
- 3–6 years of hands-on experience in computer vision and/or machine learning engineering.
- Strong Python development skills with clean, modular, production-ready code.
- Deep knowledge of computer vision frameworks (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 independently and collaboratively in a multidisciplinary team.
Nice to have
- Experience deploying ML models to production using Docker, containers, REST services, or 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 with agentic AI systems and understanding model behavior in automated pipelines.
Benefits
- Mission-driven projects improving patient safety and healthcare outcomes.
- Real-world medical automation environment with genuine clinical impact.
- Multidisciplinary team combining robotics, embedded systems, software, and AI.
- Fast-scaling global company at the forefront of pharmacy automation technology.
- High-visibility work shaping the intelligence layer of next-generation medical robots.