Looking for a machine learning engineer

The Machine Learning Engineer will develop and deploy models to extract insights from financial documents such as invoices, receipts, and bank statements. Responsibilities include preprocessing unstructured data, training NLP models for entity recognition, and optimizing algorithms for accuracy and speed. The engineer will implement document classification systems to categorize financial records by type and purpose. They will fine-tune transformer-based models like BERT or GPT for text extraction and summarization tasks. Collaboration with data engineers is required to build scalable pipelines for document ingestion and processing. The role involves testing model performance on real-world financial datasets and refining approaches based on feedback. Additionally, the engineer will integrate ML solutions with existing accounting or ERP systems via APIs. They will research and apply techniques like OCR enhancement for handwritten or scanned documents. Continuous monitoring of model drift and retraining pipelines will ensure long-term reliability. The engineer will document methodologies and present findings to stakeholders for business decision-making.