Deep Learning

5 days ago

Delhi, Delhi, India Prolegion Private Limited Full time
Job Description

Job Title:Deep Learning & Computer Vision Engineer

Company:Designing Alley

Location:On-site

Employment Type:Full-Time

Experience:35 Years

About Us

Designing Alley is an innovation-driven startup building advanced solutions inautomation, 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 aDeep Learning & Computer Vision Engineerto 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 afast-paced startup environmentwhere your work directly shapes innovative products.

Key Responsibilities

- Design and implementdeep learning modelsfor image classification, object detection, segmentation, and tracking.
- Developcomputer vision pipelinesfor real-time applications.
- Research and apply the latestAI and computer vision techniquesfrom research papers to production systems.
- Deploy, optimize, and maintain models oncloud platforms(AWS, GCP, Azure).
- Work with large datasets, performing preprocessing anddata augmentation.
- Collaborate with cross-functional teams to integrate AI into products.
- Monitor model performance and improve efficiency.
- Mentor junior engineersand support team knowledge sharing.

Required Skills & Qualifications

- 35 years of experience indeep learning and computer vision.
- Proficiency inPythonand frameworks likeTensorFlow, PyTorch, Keras.
- Strong understanding ofOpenCVand computer vision algorithms.
- Hands-on experience with neural architectures (CNNs, YOLO, ResNet, Transformers).
- Experience deploying models onAWS/GCP/Azureand knowledge ofMLOps(Docker, Git, CI/CD).
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications

- Experience withROSand robotics applications.
- Knowledge ofmodel optimization techniques(quantization, pruning).
- Familiarity withedge deployment(TensorFlow Lite, ONNX).
- Startup experience and ability to thrive in a dynamic environment.
- Contributions toopen-source projectsor 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.

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