Deep Learning Engineer

Requirements:

• 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.
• Interesting Projects Other Senior DL Engineers Have Completed.
• Deployed large-scale multimodal architectures that can understand both text and images really well.
• Built an auto-ML platform that can automatically select the best architecture and fine-tuning method based on type and amount of data.
• Best-in-the-world models to process documents like invoices, receipts, passports, driving licenses, etc.
• Hierarchical information extraction from documents.
• Robust modelling for the tree-like structure of sections inside sections in documents.
• Extracting complex tables — wrapped around tables, multiple fields in a single column, cells spanning multiple columns, tables in warped images, etc.
• Enabling few-shot learning by SOTA fine-tuning techniques.
• Need someone who has experience with Transformers and LLaMA.
• Strong Deep Learning experience.