Deep Learning Engineer

The role focuses on building and deploying cutting-edge, generalized deep learning architectures to solve complex business problems, such as transforming unstructured data into structured formats without extensive manual feature engineering or model tuning. You will be expected to develop state-of-the-art models, continuously experiment with emerging advancements in deep learning, and incorporate them into scalable production systems.

Requirements:

• 5-8 years of experience in deep learning.
• Strong foundational knowledge of deep learning concepts, architectures, and methodologies, particularly LLMs and VLMs.
• Demonstrated expertise in at least one specialized area of deep learning, such as Natural Language Processing (NLP), Computer Vision, or Multimodal Models
• Other related deep learning domains.
• Proven experience building and deploying production-grade deep learning systems at scale.
• Strong familiarity with Large Language Models (LLMs) such as GPT, LLaMA, and Claude, and their practical applications.
• Strong software engineering practices, including version control, CI/CD, code quality, and maintainability.
• Production-ready development practices.
• Ability to rapidly learn, experiment with, and apply new technologies, research advancements, and approaches in the field of deep learning.