As a Computer Vision Engineer at Droisys, you will be responsible for designing, developing, and implementing computer vision algorithms and systems. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to build and deploy solutions that address real-world challenges for our clients. Your work will directly contribute to enhancing the capabilities of our AI-powered products and driving business value.

Key Responsibilities :

- Develop and implement computer vision algorithms for object detection, image classification, and image segmentation to meet specific project requirements.

- Optimize and deploy computer vision models for real-time performance on embedded systems and cloud platforms to ensure efficient and scalable solutions.

- Collaborate with data scientists to create and maintain high-quality datasets for training and evaluating computer vision models to improve accuracy and robustness.

- Integrate computer vision solutions with existing software systems and hardware platforms to deliver end-to-end solutions for our clients.

- Research and evaluate new computer vision techniques and technologies to stay at the forefront of the field and identify opportunities for innovation.

Required Skillset :

- Demonstrated ability to design and implement computer vision algorithms using C++ and Python.

- Proven experience with CUDA for accelerating computer vision computations.

- Strong understanding of image processing techniques and computer vision principles.

- Excellent problem-solving and analytical skills with the ability to translate complex requirements into

practical solutions.

- Effective communication and collaboration skills to work effectively with cross-functional teams.

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.