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Design and develop algorithms for generative models using deep learning techniques.

Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow

systems.

Research and stay up-to-date on the latest advancements in generative AI technologies and

methodologies.

Optimize and fine-tune generative models for performance and efficiency.

Troubleshoot and resolve issues related to generative AI models and implementations.

Create and maintain documentation for generative AI models and their applications.

Communicate complex technical concepts and findings to non-technical stakeholders.

Qualification & Core Skills requirement:

Programming languages: Python, Java, or C++

Strong background in machine learning and deep learning algorithms.

Good understanding of the Structured and Unstructured Data.

Skills in data preprocessing and feature engineering for AI model training.

Machine learning frameworks: TensorFlow, PyTorch, or scikit-learn

Advanced knowledge of natural language processing for text generation tasks.

Familiarity with computer vision and image generation using AI.

Experience in generative AI techniques such as GANs and VAEs.

Ability to stay updated with the latest advancements in generative AI research and incorporate

them into work.

Excellent inter-personal & team skills.

Nomura ITD - GMIT - IWM division

Station Overview

Project 1

Intern, GMIT Team