Computer Vision Engineer

We are seeking a talented and innovative Computer Vision Engineer to join our AI team. In this role, you will design, develop, and deploy advanced computer vision and deep learning solutions that power intelligent products and applications. You will work closely with data scientists, software engineers, and product teams to build scalable vision-based systems capable of processing images and video data in real-world environments. Key Responsibilities Design, develop, and optimize computer vision algorithms for image and video analysis. Build and train deep learning models for tasks such as object detection, image classification, segmentation, tracking, OCR, and facial recognition. Develop and maintain data pipelines for collecting, processing, labeling, and validating visual datasets. Deploy machine learning models into production environments and optimize inference performance. Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. Conduct research on emerging computer vision techniques and evaluate new technologies. Monitor model performance and continuously improve accuracy, reliability, and scalability. Document solutions, experiments, and technical processes. Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related field. 1-3 years of experience in computer vision, machine learning, or deep learning engineering. Strong programming skills in Python. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras. Strong understanding of computer vision libraries such as OpenCV. Experience with image processing, feature extraction, object detection, image segmentation, and model optimization. Knowledge of machine learning algorithms and neural networks. Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Familiarity with SQL, Git, Docker, and CI/CD practices. Preferred Skills Experience with YOLO, Detectron2, MMDetection, or similar frameworks. Knowledge of MLOps and model deployment strategies. Experience working with edge devices and real-time vision systems. Understanding of Generative AI and multimodal AI models. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Benefits PF: 8% OPD IPD Annual Performance Based Bonus Annual Increment Competitive salary and performance-based bonuses. Opportunity to work on cutting-edge AI and computer vision projects. Professional development and training opportunities. Collaborative and innovation-driven work environment. Flexible working arrangements.