Description

You will engineer and deploy generative AI solutions across cloud environments.

Responsibilities

• Collect and prepare data for training and evaluating multimodal foundation models, including text cleaning and processing.
• Develop and optimize large-scale language models, such as GANs and Variational Autoencoders, for generative AI.
• Regularly review and fine-tune Large Language Models to maximize accuracy against custom datasets.
• Build and deploy AI applications on cloud platforms, specifically Azure, GCP, or AWS.
• Design and develop backend services in Python or .NET to support LLM implementations.

Required Skills

• 5+ years of professional experience in relevant engineering roles.
• Proficiency in Python and Machine Learning principles.
• Hands-on experience with AWS, Azure, and GCP cloud platforms.
• Familiarity with containerization using Docker and Kubernetes.
• Experience working with Large Language Models (LLMs) and GANs.
• Capability in data preprocessing, augmentation, and synthetic data generation.
• Experience developing and deploying AI models in production.

Key Skills

Education

Any Graduate