Computer Vision Engineer

Job Description Computer Vision Engineer (5 to 9 Years Experience)

Job Title: Computer Vision Engineer
Experience: 5 to 9 Years
Location: Bangalore
Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Computer Vision Engineer with 5 to 9 years of experience in developing and deploying AI/ML-based computer vision solutions. The ideal candidate will have expertise in image processing, deep learning, machine learning, and computer vision algorithms, with hands-on experience in building scalable solutions for object detection, image classification, segmentation, tracking, and video analytics applications.

Key Responsibilities

• Design, develop, and optimize computer vision and deep learning models for real-world applications.
• Build solutions for object detection, image classification, segmentation, pose estimation, OCR, and video analytics.
• Develop and deploy AI/ML models in production environments.
• Work with large-scale image and video datasets for training and validation.
• Implement model optimization techniques for edge, cloud, or embedded deployments.
• Collaborate with data scientists, software engineers, and product teams to deliver end-to-end AI solutions.
• Monitor model performance and continuously improve accuracy and efficiency.
• Research and evaluate emerging computer vision technologies and frameworks.

Required Skills

• Strong expertise in Computer Vision, Image Processing, and Machine Learning.
• Hands-on experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in Python programming.
• Experience with OpenCV, NumPy, and scientific computing libraries.
• Strong understanding of CNNs, Transfer Learning, Object Detection, and Segmentation techniques.
• Experience with models such as YOLO, Faster R-CNN, SSD, Mask R-CNN, U-Net, Vision Transformers (ViT).
• Knowledge of video analytics, image enhancement, feature extraction, and pattern recognition.
• Experience in data preprocessing, model training, hyperparameter tuning, and model evaluation.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of Docker, Git, CI/CD pipelines, and MLOps practices.

Preferred Skills

• Experience with Generative AI, Multimodal AI, or Large Vision Models.
• Exposure to Edge AI deployment using NVIDIA Jetson, TensorRT, ONNX, or OpenVINO.
• Experience working with medical imaging, automotive, manufacturing, retail, or surveillance domains.
• Knowledge of GPU acceleration and CUDA programming.
• Familiarity with Agile/Scrum development methodologies.

Educational Qualification

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