Prompt Engineer

We are looking for a Computer Vision Engineer to join our team and contribute to the development of cutting-edge computer vision technologies. As a Computer Vision Engineer, you will be responsible for designing, implementing, and optimizing algorithms and systems that enable machines to interpret and process visual data. Your work will play a critical role in advancing applications such as object detection, image recognition, video analysis, and augmented reality. You will collaborate with a multidisciplinary team of engineers, researchers, and product managers to deliver innovative solutions that meet the needs of our clients and end-users. The ideal candidate is passionate about computer vision, has a strong background in machine learning and image processing, and is eager to tackle challenging problems in a fast-paced environment. You will have the opportunity to work with state-of-the-art tools and technologies, contribute to research and development, and see your work make a tangible impact in real-world applications. If you are excited about the prospect of shaping the future of computer vision and artificial intelligence, we encourage you to apply.

Responsibilities

• Develop and implement computer vision algorithms for image and video analysis.
• Optimize and deploy computer vision models for real-time applications.
• Collaborate with cross-functional teams to integrate computer vision solutions into products.
• Conduct research to stay updated on the latest advancements in computer vision and machine learning.
• Analyze and preprocess large datasets for training and testing models.
• Debug and troubleshoot issues in computer vision systems and pipelines.
• Document technical designs, processes, and results for internal and external stakeholders.
• Contribute to the development of prototypes and proof-of-concept projects.

Skills and qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of computer vision concepts and techniques.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or OpenCV.
• Familiarity with deep learning architectures for image and video processing.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Excellent communication and documentation skills.