Description

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

This role is on-site.

Responsibilities

• Collect and prepare data for training multimodal foundation models, including text cleaning and synthetic data generation.
• Review and fine-tune Large Language Models to maximize accuracy against custom datasets.
• Develop and optimize large-scale language models such as GANs and VAEs for specific applications.
• Build and deploy AI applications and pipelines on AWS, Azure, or GCP.
• Design backend services and maintain efficient model deployment infrastructure.

Required Skills

• 5+ years of professional experience in AI engineering.
• Proficiency in Python and Machine Learning principles.
• Hands-on experience with cloud environments: AWS, Azure, and GCP.
• Strong familiarity with Large Language Models and their fine-tuning.
• Experience implementing Generative Adversarial Networks (GANs).
• Knowledge of containerization with Docker and Kubernetes.
• Solid background in model training using custom datasets, including chunking and embeddings.

Key Skills

Education

Any Graduate