Bazze is an AI powered data marketplace that enables government and enterprise customers to answer their most difficult questions. The AI Engineer will be responsible for developing a large language model that interacts with an API and extracts valuable insights from various datasets using advanced deep learning and natural language processing techniques.
Responsibilities:
- Develop and deploy a robust and scalable language model that interacts with an API, extracting insights and generating responses based on user queries or input
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define the requirements and specifications for the language model
- Preprocess and analyze the dataset to extract relevant features and ensure data quality for training and evaluation purposes
- Utilize state-of-the-art NLP algorithms and deep learning frameworks to design and train the language model, incorporating techniques such as transfer learning, attention mechanisms, and sequence modeling
- Implement efficient data pipelines and integration with the API, ensuring seamless communication and data flow between the language model and external systems
- Conduct thorough testing and evaluation of the language model's performance, including metrics such as accuracy, precision, recall, and computational efficiency
- Stay up to date with the latest advancements in NLP, deep learning, and AI research to incorporate innovative approaches into the language model development process