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Urgent! Deep Learning & Computer Vision Engineer Job Opening In Delhi Division – Now Hiring Confidential

Deep Learning & Computer Vision Engineer



Job description

Job Title: Deep Learning & Computer Vision Engineer

Company: Designing Alley

Location: On-site

Employment Type: Full-Time

Experience: 3–5 Years

About Us

Designing Alley is an innovation-driven startup building advanced solutions in automation, AI, and computer vision.

We combine creativity with technology to deliver ground breaking products that redefine industries.

If you're passionate about AI and want to work on cutting-edge projects, join us and make an impact.

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.

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).
  • Familiarity with edge deployment (TensorFlow Lite, ONNX).
  • Startup experience and ability to thrive in a dynamic environment.
  • Contributions to open-source projects or published research.

Note:

1.

Applications will only be accepted through the ATS link provided above.

Profiles shared through other means will not be considered.

2.

Prolegion does not charge any fee from candidates at any stage.

If anyone approaches you for money in exchange for this opportunity, treat it as fraud and report it to us immediately.


Skills Required
Deep Learning, Computer Vision, Opencv


Required Skill Profession

Computer Occupations



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