Deep Learning

1 week ago

Delhi, Delhi, India Designing Alley Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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 groundbreaking 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.

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