Key Responsibilities:

• Model Development: Design and develop algorithms for generative models using deep learning techniques.
• Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems.
• Research: Stay updated on the latest advancements in generative AI technologies and methodologies.
• Optimization: Fine-tune models for performance and efficiency.
• Troubleshooting: Address and resolve issues related to generative AI models and implementations.
• Documentation: Create and maintain comprehensive documentation for AI models and their applications.
• Communication: Explain complex technical concepts to non-technical stakeholders.

Required Skills and Qualifications:

• 6+ years of strong background in machine learning and deep learning algorithms.
• Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
• Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT)
• Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations.
• Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
• Skills in data preprocessing and feature engineering for AI model training.
• Strong understanding of neural network architectures and optimization techniques.
• Experience in deploying AI models into production environments.