Deep Learning Engineer

Role Description

Deep Learning Engineer (Fresher)

Remote (worldwide)

Full-time

₹4 to ₹8 LPA

We are hiring a Deep Learning Engineer to build and train neural networks end to end. You will work on computer vision and sequence models with PyTorch and TensorFlow, tune them until they perform, and document what actually worked so learners can follow the same path.

Key Responsibilities

• Design and train CNNs, RNNs, and transformer models.
• Build image classification and object detection pipelines.
• Run experiments, tune hyperparameters, and track results.
• Keep training efficient with GPUs and well-built data pipelines.
• Convert strong experiments into tutorial case studies.

Requirements & Tech Stack

• PyTorch
• TensorFlow
• CNNs
• Computer vision
• NumPy
• Python

Qualifications

• 0 to 2 years of deep learning experience (course projects count).
• Hands-on PyTorch or TensorFlow experience beyond tutorials.
• Understanding of backpropagation, loss functions, and regularization.
• Solid Python and NumPy.
• Ability to read a paper and implement its core idea.

Nice to have:

• Published models, Kaggle medals, or open-source work.
• Experience with detection or diffusion models.
• Experience training on cloud GPUs or Colab.