Generative AI Application Engineer

Required Technical Skill Set

Experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, GANs & LLMs. Generate required data using data generation techniques, Implement the data storages / vector storages required for models.

Responsibility of / Expectations from the Role

Implement AI-driven features in applications, integrating machine learning models and writing the necessary code to deploy AI functionality in software. Build AI-powered applications for specific business or consumer needs

Design, build, and fine-tune generative models, including Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs).

Work with large datasets, handling data collection, pre-processing, augmentation, and storage to train and optimize generative models.

Continuously improve the performance, scalability, and efficiency of generative AI models and applications.

Stay current with the latest advancements in generative AI, deep learning, and machine learning techniques to identify and implement new opportunities.

Must-Have

Desing, develop and manage artificial intelligence (AI) systems that can autonomously “generate” content, such as text, images, and music.

Good-to-Have

Python, ML