About the role
We are seeking a skilled AI/ML Engineer with expertise in developing and deploying classical machine learning models for image/time series data and building agentic workflows with large language models.
Responsibilities:
- Preparing datasets from unstructured data in papers/books/internet by extracting images, text, and tables.
- Developing knowledge graphs from unstructured data.
- Applying data augmentation and synthetic data generation techniques to enhance model performance.
- Develop agentic workflows around LLMs.
- Preparing evaluation frameworks for LLMs for consistency.
- Deploy large language models in on-premises environments.
Requirements:
- Strong understanding of deep learning concepts, including transformers, attention mechanisms, and transfer learning.
- Developing and debugging machine learning models using Python and ML libraries (TensorFlow, PyTorch).
- Expertise in graph neural networks is a plus.
- Expertise in Large Language Models: Prompt engineering and agentic workflow are a plus.
- 4+ years' experience; a mathematics, computer science, or electronics degree is required.