Deep Learning & Computer Vision Engineer

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

Preferred Qualifications

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).