Computer Vision Engineer

3 weeks ago

India Metadee Ai Pvt Ltd Full time

We are seeking a skilled Computer Vision Engineer to join our innovative team. The ideal candidate will have a strong background in computer vision, image processing, and machine learning, with a passion for developing cutting-edge solutions. As a Computer Vision Engineer, you will be responsible for designing, implementing, and optimizing computer vision algorithms and systems to solve real-world challenges.

Job Description

- Design, develop, and deploy computer vision models and algorithms for image and video analysis.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate computer vision solutions into production systems.
- Preprocess and analyze visual data (images, videos) to improve model accuracy and performance.
- Research and implement state-of-the-art computer vision techniques, including object detection, segmentation, tracking, and recognition.
- Optimize computer vision models for performance, scalability, and real-time applications.
- Stay up-to-date with the latest advancements in computer vision, deep learning, and AI technologies.
- Present technical findings and insights to stakeholders in a clear and actionable manner.

Requirements

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Proven experience as a Computer Vision Engineer or in a similar role.
- Strong programming skills in Python, C++, or similar languages.
- Hands-on experience with computer vision frameworks and libraries (e.g., OpenCV, TensorFlow, PyTorch, Keras).
- Proficiency in deep learning techniques for computer vision, such as convolutional neural networks (CNNs), generative adversarial networks (GANs), and transformers.
- Familiarity with image and video processing techniques, including feature extraction, object detection, and semantic segmentation.
- Solid understanding of machine learning, data structures, and algorithms.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes).
- Knowledge of 3D vision, stereo vision, or SLAM (Simultaneous Localization and Mapping) is a plus.
- Experience with deploying computer vision models in production environments.
- Strong problem-solving skills and the ability to work independently or as part of a team.

Benefits

- Competitive salary and benefits package.
- Opportunity to work on cutting-edge projects in a fast-growing field.
- Access to training and skill development programs.
- Collaborative, inclusive, and flexible work environment.
- Opportunities for professional growth and career advancement.

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