Deep Learning Engineer

The role can be summed up as building and deploying cutting-edge generalized deep learning architectures that can solve complex business problems like converting unstructured data into a 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.

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 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.