Position Overview:

We are seeking a skilled AI/ML Engineer with expertise in developing and deploying machine learning models for graph/image/time series data, and building/finetuning agentic workflow with Large Language Models. 

Required Skills & Qualification

Strong understanding of theory & application of deep 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, supervised fine tuning and agentic workflow is a plus

2+ 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 graph 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-premise environments

Why Join Us? 

• Work on cutting-edge AI-driven solutions for semiconductor design. 
• Lead a highly skilled team of data science engineers in a fast-growing AI company. 
• Influence the architecture and roadmap of an industry-leading product. 

This is a unique opportunity to work on innovative AI-powered solutions in the semiconductor design industry. If you are passionate about Deep Learning, and system architecture, we invite you to apply!