Description

You will design and implement generative AI models, focusing on NLP and neural network architectures. You own the full lifecycle from model development to training and prompt engineering.

Responsibilities

• Design and train generative AI models using advanced machine learning techniques.
• Implement Natural Language Processing (NLP) solutions and neural network architectures.
• Apply prompt engineering techniques to optimize model outputs.
• Execute end-to-end model development and training workflows.
• Integrate AI components using Python and .NET environments.

Required Skills

• 5 to 8 years of experience in generative AI model design and implementation.
• Proficiency in Python and standard machine learning libraries.
• Practical knowledge of Natural Language Processing (NLP).
• Experience with neural network implementation and training.
• Strong background in model development and optimization.
• Hands-on experience with prompt engineering.
• Familiarity with R for statistical analysis.
• Knowledge of .NET for backend integration.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science