As a Data Chunking and Embedding Engineer, you'll focus on optimizing data strategies for AI applications. This role is ideal for someone who enjoys working with both data and engineering teams to create efficient solutions.
In this role, you'll be responsible for designing and implementing data chunking and embedding strategies that enhance enterprise AI applications. Your work will involve creating intelligent document parsing and preprocessing pipelines that handle both structured and unstructured data. You'll collaborate closely with business, data, and engineering teams to ensure that the solutions you develop meet the needs of the organization.
Your day-to-day tasks will include defining data ingestion and retrieval requirements, optimizing data processing pipelines for scalability, performance, and cost efficiency. You'll need to be comfortable working with various stakeholders to align on project goals and deliver effective solutions.
This position is well-suited for someone with a strong background in data engineering and a passion for AI technologies. Key requirements include experience with data chunking, embedding strategies, and document parsing. If you thrive in a collaborative environment and enjoy tackling complex data challenges, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.