India Deep learning engineer Jobs – 3491 Open Jobs Today

Deep Learning Engineer
Clock Edge Technologies Pvt Ltd —Hyderabad, Telangana
- ₹22,00,000 - ₹40,00,000 a year
- Full-time
- Research
- Analysis skills
- Bachelor's degree
Quick apply
2d
Machine Learning Engineer
Coinbase —Bengaluru, Karnataka
- ₹44,08,400 a year
- Email
- Master's degree
- AWS
- Machine learning
Machine Learning Engineer (On-site)
Movodream —Hyderabad, Telangana
- ₹5,26,691.47 - ₹18,45,118.89 a year
- Email
- AWS
- Machine learning
- In-person
- Paid time off
- Paid sick time
Quick apply
Deep Learning Engineer
Hackveda —Unknown, Uttar Pradesh
- Machine learning
- AI
- Python
Quick apply
Machine Learning Engineer
Superfans —Chennai, Tamil Nadu
- Full-time
- System design
- Master's degree
- SQL
Software Engineer, Machine Learning
Emagesoft Private Limited —Bangalore City, Bengaluru, Karnataka
- ₹3,00,000 - ₹5,00,000 a year
- Full-time
- Computer Science
- Windows
- Master's degree
- Health insurance
Quick apply
Machine Learning Engineer
Adobe —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Master's degree
Deep Learning Engineer
SeaportAI —Chennai, Tamil Nadu
- Email
- Hybrid work
- Machine learning
- AI
- Python
Staff AI Engineer
We Remote Devs —Bengaluru, Karnataka
- ₹60,00,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
AI Engineer
BMC Software —Bengaluru, Karnataka
- ₹25,49,100 a year
- Azure
- Research
- AWS
Staff Machine Learning Engineer (Employer of Record)
Credit Acceptance —Remote
- ₹63,55,839 - ₹93,21,897 a year
- Full-time
- Remote
- Computer science
- Doctoral degree
- Computer Science
AI / Machine Learning Engineer
Sagacious Infosystems Pvt ltd —Bengaluru, Karnataka
- ₹5,22,318.52 - ₹9,00,000.00 a year
- Full-time
- Salesforce
- SQL
- Machine learning
Quick apply
Machine Learning Engineers
Inavan India Technologies —Kochi, Kerala
- Full-time
- Master's degree
- SQL
- Machine learning
Machine Learning Engineer
Motorola Solutions —Bengaluru, Karnataka
- Full-time
- Salesforce
- Master's degree
- Machine learning
Machine Learning Engineer
Aidaptive —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Frontend Engineer ( India )
Coram AI —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Machine learning
- AI
Quick apply
4d
Machine Learning Engineer
Data Collection Infotech —Bengaluru, Karnataka
- Computer Science
- Data analysis skills
- SQL
Machine Learning Engineer
DocuSign —Bengaluru, Karnataka
- Remote
- Azure
- Machine learning
- AI
Deep Learning Engineer
DataToBiz —Mohali, Punjab
- Machine learning
- Communication skills
- Python
- Paid time off
- Flexible schedule
UI Engineer
Citi —Pune, Maharashtra
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
10d

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Deep Learning Engineer

Clock Edge Technologies Pvt Ltd
Hyderabad, Telangana

Quick apply

Job details

Full-time
₹22,00,000 - ₹40,00,000 a year
2 days ago

Qualifications

TensorFlow
Image processing
PyTorch
Research
Analysis skills
Bachelor's degree
Machine learning
Deep learning
Natural language processing
AI
Communication skills
Python

Full job description

# 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.

* 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 efficient 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

Quick apply

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