Job Description:

• Develop and support AI-driven applications focused on knowledge base ingestion, including extracting, processing, and storing structured and unstructured data (e.g., Excel files, PDFs, images, and database records).

• Build and maintain data pipelines for machine learning models, ensuring data quality, consistency, and efficient processing.

• Implement document parsing, text preprocessing, and chunking strategies to prepare data for retrieval-augmented generation (RAG) systems.

• Design and support workflows for retrieving relevant data and injecting context into prompts for AI applications.

• Assist in developing and integrating backend services using Python frameworks such as Django.

• Collaborate with cross-functional teams to test, deploy, and improve AI models and pipelines.

• Support containerized deployments and environments using Docker and K...