Description

You will design and implement generative AI models to solve complex business challenges and optimize customer experiences.

Responsibilities

• Develop and implement generative AI models, including LLMs and text-to-image architectures.
• Train and evaluate models using large datasets and high-performance computing clusters.
• Lead data experiments under an iterative testing framework to identify and implement model improvements.
• Design complex algorithmic models and use predictive modeling to enhance business outcomes.
• Build processes and tools to monitor model performance, data accuracy, and scalability.

Required Skills

• 2+ years of experience developing and training AI/ML models.
• Proficiency in Python and SQL.
• Experience with state-of-the-art generative AI models such as GPT-3, DALLE, and CLIP.
• Deep understanding of deep learning, natural language processing (NLP), and computer vision.
• Experience with cloud infrastructure including Azure, GCP, or AWS.
• Knowledge of training and evaluating large-scale models on high-performance computing clusters.
• Ability to scale models and understand their technical limitations.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Key Skills

Education

Bachelor's or master's degree in computer science, Data Science