As a Data Chunking and Embedding Engineer, you'll play a key role in developing AI solutions for enterprise applications. This position is perfect for someone who enjoys working with data and collaborating with various teams to create efficient systems.
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. Your work will directly impact how data is ingested and retrieved, making it crucial for the success of the company's AI initiatives.
You will collaborate with various teams, including business, data, and engineering, to define the requirements for data ingestion and retrieval. This means understanding the needs of the business and translating them into technical solutions. Your responsibilities will also include developing intelligent document parsing and preprocessing pipelines that can handle both structured and unstructured data.
Key responsibilities include: • Designing and implementing data chunking and embedding strategies • Collaborating with stakeholders to gather requirements • Optimizing data processing pipelines for efficiency and cost-effectiveness
This role is ideal for someone with a strong background in data engineering and a passion for AI applications. If you enjoy working in a collaborative environment and are eager to tackle complex data challenges, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.