As a Data Chunking and Embedding Engineer, you'll focus on optimizing data strategies for AI applications. This role is ideal for those who enjoy working with data and collaborating with various teams to create efficient solutions.
Anicalls is seeking a Data Chunking and Embedding Engineer to enhance their enterprise AI applications. In this role, you will design and implement strategies for data chunking and embedding, ensuring that the solutions are optimized for performance and scalability. You will work closely with business, data, and engineering teams to create secure and efficient AI solutions that support advanced functionalities like Retrieval-Augmented Generation and semantic search.
Your day-to-day responsibilities will include developing intelligent document parsing and preprocessing pipelines for both structured and unstructured data. You will also collaborate with stakeholders to define the requirements for data ingestion and retrieval, ensuring that the solutions meet the needs of the business.
Key requirements for this role include a strong understanding of data chunking and embedding techniques, as well as experience in optimizing data processing pipelines. Familiarity with AI applications and knowledge retrieval systems will be beneficial, but the primary focus will be on creating scalable and cost-effective solutions.
This position is suited for individuals who are passionate about data engineering and enjoy working in a collaborative environment. If you have a knack for problem-solving and a desire to contribute to innovative AI projects, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.