Senior Data Scientist - Computer Vision

November 5

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Three Ventures Technology, Inc.

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

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Description

• Company Overview • ThreeV Technologies, Inc. is an early-stage venture backed startup working on Inspection Insight Automation Platform. • Goal: Become the B2B Perplexity AI for the physical world using computer vision. • Job Summary • Looking for a Computer Vision Engineer to advance our computer vision platform. • Key Responsibilities • Critical role in designing, implementing, and deploying computer vision algorithms and systems. • Develop and optimize computer vision algorithms for applications like object detection, image segmentation, and image recognition. • Expertise in data preprocessing, augmentation, and annotation for computer vision tasks. • Proficiency in training and fine-tuning computer vision models. • Ability to deploy computer vision systems into production environments. • Collaborate with software engineers and cross-functional teams to integrate solutions.

Requirements

• Bachelor's or Master’s degree in computer science, computer engineering, electrical engineering or a related field. • High Proficiency in programming languages such as Python, for algorithm development and scripting. • Proficiency in deep learning frameworks and architectures, including a strong command of CNNs, RNNs, VAE's and GANs, Transformers. • 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. • Experience with Cloud Machine Learning in one of the major Cloud Platforms (AWS, Azure, GCP, etc.) • 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.