We are looking for a Computer Vision Engineer with at least 1 year of hands-on experience in designing and developing vision-based AI solutions. The ideal candidate should have a strong foundation in image processing, deep learning, and computer vision algorithms, along with experience using modern AI frameworks.

Key Responsibilities :

- Develop, train, and optimize computer vision and deep learning models for image and video analysis.

- Build and implement image processing pipelines using OpenCV and related libraries.

- Design, train, and evaluate models using PyTorch or TensorFlow.

- Deploy and optimize computer vision models for production environments.

- Work closely with cross-functional teams to integrate AI solutions into products.

- Analyze datasets, improve model performance, and troubleshoot production issues.

- Stay updated with the latest advancements in computer vision and deep learning technologies.

Required Skills & Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, or a related field.

- 1+ years of hands-on experience in Computer Vision.

- Strong understanding of image processing and deep learning concepts.

- Proficiency in Python programming.

- Experience with deep learning frameworks such as PyTorch or TensorFlow.

- Familiarity with OpenCV and computer vision libraries.

- Knowledge of model deployment and optimization techniques is preferred.

- Strong analytical, problem-solving, and debugging skills.

- Ability to thrive in a fast-paced product development environment.

Preferred Skills :

- Experience with object detection, image classification, segmentation, or OCR.

- Knowledge of model optimization frameworks such as ONNX or TensorRT.

- Familiarity with cloud platforms (AWS, Azure, or GCP) for model deployment.

- Understanding of MLOps practices and model lifecycle management.