Deep Learning Engineer

\Company:\ Hiringhood

\Employment Type:\ Full Time

\Experience:\ 3–6 Years

\No. of Positions:\ 1

\CTC:\ ₹22–40 LPA

\Location:\ Hyderabad, Telangana

\Qualification:\ Bachelor's Degree

\Office Timings:\ 09:00 – 18:00

\Notice Period:\ Immediate Joiner

\Onsite Feasibility:\ Yes
Job Description

We are seeking a skilled Deep Learning Engineer to design, train, and deploy advanced neural network architectures. This role goes beyond fine-tuning pretrained models, requiring hands-on experience building deep learning models from scratch. You will work on high-impact problems across areas such as computer vision, NLP, and multimodal AI, contributing directly to the development of innovative AI products.
Must Have Skills

* Design, implement, and train deep neural networks (e.g., CNNs, RNNs, Transformers, Diffusion Models).

* Python (P1), PyTorch (P2) or TensorFlow (P2).

* Neural network theory – backpropagation, activation functions, initialization, and optimization.

* Training on large datasets,



including distributed training and GPU acceleration.

* Debugging training instabilities, overfitting, or mode collapse.

* 3+ years of experience in training deep learning models end-to-end, beyond pre-trained fine-tuning.

* Robust programming skills in Python, with hands-on experience in PyTorch or TensorFlow.

* Solid understanding of neural network theory: backpropagation, activation functions, initialization, and optimization.

* Experience training on large datasets, including distributed training and GPU acceleration.

* Ability to design data pipelines and manage the model lifecycle in production environments.

* Solid intuition for debugging training instabilities, overfitting, or mode collapse.
Valuable to Have Skills

* Productionizing models using tools like ONNX, TensorRT, or quantization.

* Knowledge of LLMs, diffusion models, or custom neural architectures.

* C

📌 Deep Learning Engineer Hyderabad
🏢 Clock Edge Technologies
📍 Hyderabad