Find Your Dream Deep Learning Job in India
Explore the latest Deep Learning job openings in India. Discover top companies hiring for Deep Learning roles across major cities in India and take the next step in your career.
Deep Learning Engineer
Job description
A job where you increase the depth of your expertise in computer vision.
A job where you learn and implement the SOTA papers.
A job where you write vectorized code that runs in seconds, not in minutes.
A job where models learn to see and understand the world around them.
A job where models run real-time because you optimize every byte.
A job where you keep the career promises that you made to yourself.
A job where you keep the learning promises that you made to yourself.
If this scares you, don't read. If this excites you, we might love you.
We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence. If building things and writing code excite you, this is the startup you belong.
Key Technologies:
- Must be an expert in Python and Numpy.
- Experience with Tensorflow/Keras/Pytorch is required.
- Unsatiable hunger for writing beautiful code.
- Knowledge of python design-patterns.
- Some experience with C++ is preferred.
- Knowledge working closely with version control (GIT).
- Excellent communication skills and being able to work independently.
- Strong problem-solving and coding skills override everything else written above.
AIMonk Labs Private Ltd
3 days ago
Senior Deep Learning Engineer
Join Nanonets to push the boundaries of what's possible with deep learning. We're not just implementing models – we're setting new benchmarks in document AI, with our open-source models achieving nearly 1 million downloads on and recognition from global AI leaders.
Backed by $40M+ in total funding including our recent $29M Series B from Accel, alongside Elevation Capital and Y Combinator, we're scaling our deep learning capabilities to serve enterprise clients including Toyota, Boston Scientific, and Bill.com. You'll work on genuinely challenging problems at the intersection of computer vision, NLP, and generative AI.
Here's a quick 1-minute intro video .
What You'll Build
Core Technical Challenges:
- Train & Fine-tune SOTA Architectures : Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale
- Production ML Infrastructure : Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM
- Agentic AI Systems : Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs
- Optimization at Scale : Implement quantization, distillation, and hardware acceleration techniques to achi
Nanonets
3 days ago
