Data Scientist - Computer Vision

November 5, 2024

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Three Ventures Technology, Inc.

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Business Optimization • Personalization • Business Innovation • Analytics Consulting • Cloud Consulting

11 - 50 employees

🤝 B2B

Description

• Company Overview: ThreeV Technologies, Inc. is an early-stage venture backed startup focusing on AI-driven inspection automation. • Job Summary: Looking for a Computer Vision Engineer to advance their computer vision platform using customer data. • Key Responsibilities: Design, implement, and deploy computer vision algorithms, optimize systems, and ensure model performance. • Work Environment: Supportive of remote work while fostering in-person connections through offsite meetings. • Company Culture: Emphasizes mission, moral integrity, and mastery to solve customer challenges effectively.

Requirements

• Bachelor's or Master’s degree in computer science, computer engineering, electrical engineering or a related field. • Programming Skills: High Proficiency in programming languages such as Python, for algorithm development and scripting. • Deep Learning: Proficiency in deep learning frameworks and architectures, including a strong command of CNNs, RNNs, VAE's and GANs, Transformers with the capability to apply these techniques to solve complex computer vision problems. • Deep familiarity with computer vision libraries, such as OpenCV, TensorFlow, or PyTorch. • Good understanding of data handling, including data preprocessing and annotation for computer vision tasks. • Knowledge of computer vision best practices and the ability to troubleshoot and fine-tune computer vision models for performance and accuracy. • Excellent problem-solving and analytical skills, with a track record of delivering innovative solutions in the field of computer vision. • Willingness and ability to collaborate with cross-functional teams and to learn and adapt to new tools and techniques. • Master's or Ph.D. in computer science, computer engineering, or a related field. • Experience with model deployment in production environments, ensuring scalability and reliability. • Experience or interest in Large Language Models. • Proficiency in additional programming languages, such as C/C++, CUDA for GPU acceleration and parallel processing.