About the role
Responsibilities:
- Build and deploy state-of-the-art, generalizable deep learning architectures for complex real-world problems.
- Develop models that can convert unstructured data into structured information without extensive hand-tuned features.
- Research, experiment and incorporate the latest advancements in Deep Learning, LLMs and VLMs.
- Build production-grade Deep Learning systems that operate at scale.
- Solve challenging problems across Computer Vision, NLP and Multimodal AI.
- Develop advanced solutions for document understanding, information extraction and intelligent automation.
Requirements:
- 5-8 years of experience in Deep Learning.
- Strong fundamentals in Deep Learning architectures, LLMs and VLMs.
- Strong expertise in at least one area such as: Computer Vision, NLP, Multimodal AI, Generative AI.
- Experience building and deploying production-grade Deep Learning systems at scale.
- Familiarity with major LLMs such as GPT, LLaMA, Claude and their applications.
- Strong software engineering practices including Git/version control, CI/CD and code quality.
- Ability to quickly learn, experiment and apply new research and technologies.