This role is no longer accepting applications via Rocketlist.
Deep Learning Engineer
NanoNetsIntelligent Document company
Bangalore, IndiaSenior
Accel
Y Combinator
SV Angel
Elevation Capital
Sound Ventures
FundersClub
Data & AI
About the role
TL;DR
Build and deploy cutting-edge deep learning architectures for complex business problems.
- •Build and deploy cutting-edge generalized deep learning architectures to solve complex business problems, converting unstructured data into structured formats without manual feature engineering.
- •Develop state-of-the-art models and continuously incorporate new advancements.
- •Key Responsibilities Build and deploy generalized deep learning architectures.
- •Solve complex business problems like converting unstructured data to structured format.
- •Develop state-of-the-art models and incorporate new advancements.
- •Experiment with and apply new technologies and approaches.
- •Build and deploy production-grade Deep Learning systems at scale.
- •Requirements 5-8 years of experience in Deep Learning.
- •Strong foundational knowledge in deep learning concepts and architectures (LLMs and VLMs).
- •Expertise in at least one specialized area of deep learning (NLP, computer vision, multimodal models, etc.).
- •Experience building and deploying production-grade Deep Learning systems at scale.
- •Familiarity with various large language models (GPT, LLaMA, Claude, etc.) and their applications.
- •Strong software engineering practices including version control, CI/CD, and code quality.
- •Ability to rapidly learn and apply new technologies and approaches.
Required skills
LLMsNLPComputer VisionHugging FacePythonTensorFlowPyTorchscikit-learnKerasCI/CDGitLinux
Nice-to-have skills
OpenAI APIAnthropic APIGemini APILangChainMLflowKubeflowSageMakerVertex AIONNXJAX
Domain expertise
ai
Tech stack
PythonTensorFlowPyTorchscikit-learnKerasOpenAI APIAnthropic APIGemini APILangChainHugging FaceComputer VisionNLPLLMsMLflowKubeflowSageMakerVertex AIONNXJAXGitLinuxCI/CD