Computer Vision Engineer

Computer Vision Engineer (5 to 8 Years)

Job Title

Computer Vision Engineer

Experience

5 to 8 Years

Job Summary

We are seeking a skilled Computer Vision Engineer with 5 to 8 years of experience in designing, developing, and deploying computer vision and deep learning solutions. The ideal candidate will have strong expertise in image processing, object detection, image segmentation, tracking, and AI/ML model development. The candidate will work closely with cross-functional teams to build scalable, production-ready vision-based applications.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms and deep learning models.
• Build and deploy solutions for object detection, classification, segmentation, OCR, tracking, and video analytics.
• Develop and maintain end-to-end machine learning pipelines for training, validation, and deployment.
• Work with large image and video datasets for data preparation, annotation, and model evaluation.
• Optimize models for real-time inference on cloud, edge, or embedded platforms.
• Collaborate with software, data engineering, and product teams to integrate AI solutions into production systems.
• Monitor model performance and implement continuous improvements.
• Stay updated with the latest advances in Computer Vision, Deep Learning, and Generative AI technologies.

Required Skills

Technical Skills

• Strong proficiency in Python.
• Hands-on experience with OpenCV, NumPy, and image processing techniques.
• Expertise in Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with computer vision techniques:
• Object Detection (YOLO, Faster R-CNN, SSD)
• Image Segmentation (U-Net, Mask R-CNN)
• Image Classification
• Object Tracking
• OCR and Document Understanding
• Good understanding of CNNs, Transformers, Vision Transformers (ViT), and multimodal AI.
• Experience in model deployment using Docker, Kubernetes, REST APIs, or cloud platforms.
• Familiarity with AWS, Azure, or GCP ML services.

Preferred Skills

• Experience with Edge AI, NVIDIA Jetson, TensorRT, or ONNX.
• Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker.
• Exposure to Generative AI, LLMs, and Vision-Language Models.
• Experience with video analytics and surveillance solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, or related field.
• 5 to 8 years of industry experience in Computer Vision and Machine Learning.