Job description
Job Title: Deep Learning & Computer Vision Engineer Company: Confidential Location: On-site (Delhi) Employment Type: Full-Time Experience: 3–5 Years Role Overview We are seeking a Deep Learning & Computer Vision Engineer to design, develop, and deploy AI-powered solutions. You will be responsible for building real-time computer vision pipelines, implementing state-of-the-art deep learning models, and bringing research concepts into production.
This is an exciting opportunity to work in a fast-paced startup environment where your work directly shapes innovative products.
Key Responsibilities
Design and implement deep learning models for image classification, object detection, segmentation, and tracking. Develop computer vision pipelines for real-time applications. Research and apply the latest AI and computer vision techniques from research papers to production systems. Deploy, optimize, and maintain models on cloud platforms (AWS, GCP, Azure).
Work with large datasets, performing preprocessing and data augmentation. Collaborate with cross-functional teams to integrate AI into products. Monitor model performance and improve efficiency. Mentor junior engineers and support team knowledge sharing.
Requirements
Required Skills & Qualifications 3–5 years of experience in deep learning and computer vision. Proficiency in Python and frameworks like TensorFlow, PyTorch, Keras. Strong understanding of OpenCV and computer vision algorithms. Hands-on experience with neural architectures (CNNs, YOLO, ResNet, Transformers). Experience deploying models on AWS/GCP/Azure and knowledge of MLOps (Docker, Git, CI/CD).
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications
Experience with ROS and robotics applications. Knowledge of model optimization techniques (quantization, pruning).