Junior Deep Learning Engineer
4 days ago
Nanonets has a vision to help computers see the world starting with reading and understanding documents. Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data.
Here's a quick 1-minute
intro video
.
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here:
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the role
The role can be summed up as building and deploying cutting edge generalised deep learning architectures that can solve complex business problems like converting unstructured data into structured format without hand-tuning features/models. You are expected to build state of the art models that are best in the world for solving these problems, continuously experimenting and incorporating new advancements in the field into these architectures.
What we're looking for
- Strong Machine Learning concepts.
- Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT, Faster-rcnn, etc., and experience in implementing those in pytorch/jax/tensorflow.
- 1-3 years of experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain.
- Strong command in probability and statistics.
- Strong programming skills.
- Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.
Ideal candidate should have the following skillset
- Python
- Tensorflow
- Experience building and deploying systems
- Experience with Theano/Torch/Caffe/Keras all useful
- Experience Data warehousing/storage/management would be a plus
- Experience writing production software would be a plus
- The ideal candidate should have developed their own DL architectures apart from using open source architectures.
- Ideal candidate would have extensive experience with computer vision applications.
Interesting Projects Other DL Engineers Have Completed
- Setting New Standards:
Through our
Automation Benchmark
, we are defining how AI systems are measured on grounding, reliability, and performance. - Proven Adoption:
Our
Nanonets-OCR-S
model on Hugging Face has already
~225,000 downloads
, validating its global impact and utility. - Global Recognition:
Our research and open-source contributions are recognized by leading voices in AI (
example
). - Enterprise-Ready AI:
Our models don't just output predictions - they provide
grounded answers with confidence scores
to enable trustworthy decision-making. - Agentic OCR Systems:
Unlike traditional OCR, our models are
agentic - capable of reasoning about inputs, adapting to task context, and chaining multiple steps to deliver structured, actionable data.
- VLM + LLM Innovation:
From text to vision-language, we are solving alignment, hallucination reduction, and cross-modal understanding at scale -
leveraging the latest techniques like RLHF, PEFT, and advanced fine-tuning
to push what's possible.
Key Responsibilities
- Understand specific customer requirements, develop and apply SOTA GenAI solutions to their workflows
- Develop and fine-tune OCR and Vision Language Models (text detection, recognition, entity extraction, layout understanding).
- Build and maintain data pipelines for documents, including cleaning, augmentation, and annotation.
- Implement and evaluate document parsing solutions for invoices, receipts, IDs, contracts, forms, etc.
- Work with LLMs/VLMs to enhance document understanding and enable intelligent reasoning over documents.
- Collaborate with senior engineers to deploy models in production with scalable APIs and workflows.
- Track and improve accuracy, robustness, and latency using proper evaluation metrics
Qualifications
Must-Have:
- 1–3 years of experience in Machine Learning / AI Engineering/ Deep Learning
- Strong programming skills in Python and familiarity with PyTorch or TensorFlow.
- Experience with data preprocessing, training, and evaluation for vision or NLP tasks.
- Experience working with LLMs or multimodal models (Hugging Face transformers, Nanonets-OCR-S, Qwen-VL, LLaMa).
- Knowledge of REST APIs, Docker, Git, Kubernetes and basic cloud deployment (AWS/GCP/Azure).
- Good understanding of ML fundamentals (supervised learning, evaluation metrics, error analysis)
- Basic understanding of agentic AI workflows (document reasoning, confidence scoring, grounding).
- Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.
- Strong problem-solving and analytical skills
-
Deep Learning Engineer
1 week ago
Bengaluru, Karnataka, India Ignitarium Full time ₹ 15,00,000 - ₹ 25,00,000 per yearCompany DescriptionIgnitarium is a Silicon and Embedded System design house dedicated to providing innovative and optimal solutions to assist customers in product development. The company is built around a core team of technologists with over 150 years of collective industry experience in areas such as system architecture, logic design and verification,...
-
Junior Deep Learning Engineer
4 days ago
Bengaluru, Karnataka, India Nanonets Full time ₹ 15,00,000 - ₹ 25,00,000 per yearLocation - Bangalore (Hybrid)Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make...
-
Deep Learning Engineer
6 days ago
Bengaluru, Karnataka, India Streamingo Solutions Office Full time ₹ 6,00,000 - ₹ 18,00,000 per yearYou will be joining , a deep learning company specializing in activity recognition. The company has developed 2 products on a MEAN stack architecture and is now seeking individuals with specific skills to enhance the Core platform team of engineers who developed As part of the team, your role will involve: - Focusing on human activity detection, human...
-
Deep Learning Engineer
3 weeks ago
Bengaluru, Karnataka, India AIMonk Labs Private Ltd Full timeJob descriptionA 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...
-
Deep Learning Engineer
3 weeks ago
Bengaluru, Karnataka, India AIMonk Labs Private Ltd Full timeJob 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...
-
Deep Learning Engineer
3 weeks ago
Bengaluru, Karnataka, India AIMonk Labs Private Ltd Full timeJob descriptionA 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...
-
Deep Learning Engineer
23 hours ago
Bengaluru, Karnataka, India Posha Full time ₹ 15,00,000 - ₹ 20,00,000 per yearPosha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use AI and Computer Vision to consistently and reliably cook the best food for our users See it in action: Posha is a fast-growing Series-A funded startup backed by Tier-1 VCs including Accel Partners, Waterbridge Ventures, amongst others....
-
Deep Learning Engineer
3 weeks ago
Bengaluru, Karnataka, India Posha Full timeAbout UsPosha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use Artificial Intelligence enabled Computer Vision to consistently and reliably cook the best food for our users See It In ActionPosha is a fast-growing Series-A funded startup backed by Tier-1 VCs including Accel Partners,...
-
Deep learning engineer
3 weeks ago
Bengaluru, Karnataka, India Posha Full time???? About Us Posha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use Artificial Intelligence enabled Computer Vision to consistently and reliably cook the best food for our users ????See It In ActionPosha is a fast-growing Series-A funded startup backed by Tier-1 VCs ???? including Accel...
-
Deep Learning Engineer
3 weeks ago
Bengaluru, Karnataka, India Posha Full timeAbout Us Posha builds cooking robots that live inside your kitchen and cook food for you completely autonomously. Posha robots use Artificial Intelligence enabled Computer Vision to consistently and reliably cook the best food for our users See It In ActionPosha is a fast-growing Series-A funded startup backed by Tier-1 VCs including Accel Partners,...