Ai Ml Engineer
Posted Updated
Summary
Builds and deploys classical machine learning models for image and time-series data and develops agentic workflows around large language models, including knowledge graphs, evaluation frameworks, and on-premises LLM deployment. Core stack is Python with TensorFlow/PyTorch.
Position Overview
- 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
- workflow with Large Language Models.
Required Skills & Qualification
- 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, Mathematics, Computer Science or Electronics degree
- required.
Key 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.