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Computer Vision Engineer

1 week ago

Gurgaon, Haryana, India Staqu Technologies Private Limited Full time

**Job Overview**

We are seeking an exceptional Computer Vision Engineer to join our team at Staqu Technologies Private Limited. As a member of our research and development team, you will be responsible for designing and developing innovative computer vision algorithms and models that drive business growth.

**Responsibilities**

- Conduct cutting-edge research in computer vision algorithms, techniques, and methodologies to solve complex problems in image and video analysis.
- Develop and implement novel computer vision algorithms and models for object detection, recognition, segmentation, tracking, etc.
- Explore advanced deep learning techniques such as convolutional neural networks (CNNs), generative adversarial networks (GANs), and Transformers for various computer vision tasks.
- Design and execute experiments to evaluate the performance of developed algorithms on benchmark datasets and real-world scenarios.
- Collaborate with cross-functional teams to integrate computer vision solutions into existing products or develop new products.
- Stay up-to-date with the latest advancements in computer vision research by studying academic literature, attending conferences, and participating in research communities.
- Publish research findings in top-tier conferences and journals to contribute to the scientific community and establish thought leadership.
- Mentor and provide guidance to junior researchers and interns, fostering a culture of learning and innovation within the team.
- Participate in patent filing activities to protect intellectual property resulting from research and development efforts.

**Requirements**

- PhD or Master's or Bachelor's degree in Computer Science, Information Technology, or a related field with a focus on computer vision, machine learning, or image processing.
- Proven track record of research excellence demonstrated through publications in top-tier computer vision or machine learning conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Strong theoretical foundation and practical experience in computer vision algorithms, image processing, and machine learning techniques.
- Proficiency in programming languages such as Python, C/C++ for implementing and evaluating algorithms.
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with software development practices including version control (e.g., Git), code documentation, and software testing.
- Excellent problem-solving skills and ability to work independently as well as part of a collaborative team.