Are you a Data Scientist with expertise in image analysis, computer vision, NLP, and text recognition? 

Join Cybord, a Tel Aviv-based pioneer in AI-driven solutions for electronic component inspection and help shape the future of advanced manufacturing technology. 

Key Responsibilities 

• Design and implement cutting-edge algorithms for image and text analysis to streamline electronic component inspection processes. 
• Enhance AI models for speed, accuracy, and scalability in real-world production environments. 
• Collaborate with product teams to integrate AI solutions into customer workflows. 
• Stay on top of advancements in machine learning and computer vision, incorporating them into solutions. 
• Conduct experiments to validate models and refine system performance based on feedback. 

Requirements 

• Proven expertise in data science with a focus on computer vision. 
• Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, and OpenCV. 
• Strong knowledge of deep learning architectures, statistical analysis, and data preprocessing techniques. 
• Familiarity with tools and practices for handling large-scale data. 
• Excellent analytical, problem-solving, and communication skills. 
• Hands-on capabilities and strong programming skills are essential. 
• A degree in exact sciences is required; an advanced degree is preferred. 
• Must be a strong team player with the ability to collaborate effectively with programmers and other technical team members. 

Preferred Skills 

• Experience in production-grade AI model deployment. 
• Knowledge of electronic manufacturing or hardware-related industries. 
• Familiarity with cloud computing platforms (AWS, GCP, or Azure). 

Why Join Us? 

At Cybord, you'll be part of a highly collaborative and innovative team that values creativity and impact. Enjoy opportunities for professional growth, work on groundbreaking projects, and play a critical role in shaping the future of AI-driven manufacturing technology. 

Ready to make a difference? Apply today!