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 chance 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).

📌 Deep Learning (Delhi)
🏢 Wynploy
📍 Delhi