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Mid-Senior Data Scientist – Image Analysis, Computer Vision, and Text Recognition
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!