Generative AI Engineer

Key Responsibilities and Qualifications:

• Hold a Bachelor's degree in Computer Science, Machine Learning, or a closely related field.
• Possess 2+ years of hands-on experience in AI/ML research and development.
• Demonstrate a strong understanding of deep learning, computer vision, or natural language processing.
• Exhibit strong programming proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
• Possess solid knowledge of Generative AI concepts, including Large Language Models (LLMs) and Small Language Models (SLMs).
• Experience with performance testing of open-source SLMs, such as Phi-3, is highly valued.
• Understand how to apply generative AI techniques and fine-tuning methods to enhance model performance.
• Familiarity with implementing Retrieval-Augmented Generation (RAG) architectures for sophisticated AI applications.
• Knowledge of multimodal models, foundation models, and various fine-tuning techniques.
• Solid understanding of transformer architectures.
• Exhibit good communication skills and the ability to collaborate effectively with cross-functional teams.
• Familiarity with cloud computing platforms and services for AI/ML, particularly AWS, is beneficial.
• Fluent command of English, both written and spoken, is required.