Description :

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.

- Develop knowledge graphs from unstructured data.

- Apply data augmentation and synthetic data generation techniques to enhance model performance.

- Developing agentic workflow around LLMs.

- Preparing evaluation frameworks for LLMs for consistency.

- Deployment of 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 is a plus.

- 4+ years' experience and a degree in mathematics, computer science, or electronics are required.

- Experience: 6 to 10 years.

Must-have skills :

- Training & deploying deep learning models (PyTorch/TensorFlow) in computer vision, PR time series data, OR natural language.

- LLMs: Prompt Engineering, Fine-tuning, and Agentic Workflows.