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

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.
- Strong 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.
- Strong intuition for debugging training instabilities, overfitting, or mode collapse.

Good to Have Skills

* Productionizing models using tools like ONNX, TensorRT, or quantization.
- Knowledge of LLMs, diffusion models, or custom neural architectures.
- Contributions to open-source ML projects or published research papers.
- Experience working with multimodal inputs (e.g., vision + text, audio + text).





Key Responsibilities

* Design, implement, and train deep neural networks (e.g., CNNs, RNNs, Transformers, Diffusion Models) from scratch.
- Select and optimize loss functions, training algorithms, regularization techniques, and data augmentation strategies.
- Analyze model performance using metrics, visualizations, ablations, and interpretability tools.
- Write clean, modular, and productive code for research experiments and production deployment.
- Collaborate with ML researchers, data engineers, and product teams to bring models into production.
- Stay updated with the latest AI/ML research and assess innovations for adoption.
- Conduct internal benchmarks and document model development processes.

Required Qualifications

* 3+ years of experience in training deep learning models end-to-end, beyond pre-trained fine-tuning.
- Strong 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.
- Strong intuition for debugging training instabilities, overfitting, or mode collapse.

Preferred Qualifications

* Experience in productionizing models using tools like ONNX, TensorRT, or quantization.
- Knowledge of LLMs, diffusion models, or custom neural architectures.
- Contributions to open-source ML projects or published research papers.
- Experience working with multimodal inputs (e.g., vision + text, audio + text).

Soft Skills

* Strong analytical and problem-solving abilities.
- Ability to work independently and collaboratively in research-driven environments.
- Passion for keeping up with the latest AI/ML trends and breakthroughs.
- Clear communication skills for sharing technical insights with cross-functional teams.

Pay: ₹2,200,000.00 - ₹4,000,000.00 per year

Work Location: In person

📌 Deep Learning Engineer (Hyderabad)
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📍 Hyderabad