Computer Vision Engineer

Job Description: Computer Vision Engineer

Experience: 5-9 Years

Job Title: Senior Computer Vision Engineer

Job Summary

We are seeking an experienced Computer Vision Engineer with 5-9 years of experience in designing, developing, and deploying computer vision and deep learning solutions. The ideal candidate should have strong expertise in image processing, machine learning, deep learning frameworks, and computer vision algorithms for real-world applications.

Mandatory Skills

• Computer Vision
• Image Processing
• Python Programming
• OpenCV
• Deep Learning (CNN, R-CNN, YOLO, ResNet, Vision Transformers)
• TensorFlow / PyTorch
• Machine Learning Algorithms
• Object Detection, Image Classification, Segmentation
• Data Annotation and Model Training
• NumPy, Pandas, Scikit-learn
• REST API Development (Flask/FastAPI)
• Git Version Control
• Linux Environment

Preferred Skills

• MLOps and Model Deployment
• NVIDIA CUDA, TensorRT
• Edge AI Deployment
• Docker & Kubernetes
• AWS/Azure/GCP
• LLMs and Multimodal AI
• OCR and Document Intelligence
• Video Analytics

Roles & Responsibilities

• Design and develop computer vision applications using deep learning techniques.
• Build, train, and optimize image and video analytics models.
• Develop object detection, image classification, segmentation, and tracking solutions.
• Work with large-scale visual datasets for model training and evaluation.
• Deploy AI models into production environments.
• Optimize model performance for latency, accuracy, and scalability.
• Collaborate with data scientists, software engineers, and product teams.
• Conduct model validation, monitoring, and continuous improvement.
• Stay updated with emerging trends in Computer Vision and AI technologies.