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 Kubernetes.
Contribute to continuous improv...
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