Senior Deep Learning Engineer

About Nanonets

Nanonets is redefining how companies automate document-heavy and unstructured data workflows using AI Agents. Our customers include global leaders like Adobe, Schneider Electric, and Boston Scientific. We're backed by marquee investors and are growing fast. We're looking for exceptional engineers to join our mission-driven team.

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

• 5-8 years of experience in Deep Learning.
• Strong foundational knowledge in deep learning concepts and architectures (LLMs and VLMs)
• Demonstrated expertise in at least one specialised 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.

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