Machine Learning Engineer

Summary

Join Devsu as a Machine Learning Engineer to enhance our data extraction pipeline for commercial real estate lease processing. You will fine-tune text classification models, improve training datasets, and work with large volumes of unstructured text data. This role requires experience with natural language processing (NLP), model retraining workflows, and cloud-based ML deployment. You will improve and maintain the data extraction pipeline, fine-tune and retrain ML models, and enhance training datasets. Collaboration with the team is key to ensure consistent extraction of lease provisions. The ideal candidate possesses strong Python and NLP skills and experience with AWS and various APIs. Devsu offers a remote-friendly culture, continuous training, and a flexible PTO policy.

Requirements

• Proven experience in machine learning, with a focus on text classification and document processing
• Strong proficiency in Python and core NLP libraries (e.g., spaCy, NLTK, scikit-learn, transformers)
• Experience with TF-IDF vectorization and traditional ML techniques for text classification
• Familiarity with OCR technologies and PDF parsing tools (e.g., Marker)
• Experience deploying models on AWS and working with APIs like OpenAI (via Azure) and Claude (via Bedrock)
• Excellent problem-solving skills, attention to detail, and ability to work independently
• English proficiency at the B2-C1 level

Responsibilities

• Improve and maintain the data extraction pipeline used for lease document processing
• Fine-tune and retrain existing ML models for text categorization (currently using TF-IDF and Scikit-learn)
• Own the QA process for ML outputs and continuously optimize model performance
• Enhance training datasets to improve model generalization and accuracy
• Collaborate with the team to ensure consistent extraction of 15–30 provisions per lease document
• Work with OCR and NLP tools to refine document parsing and classification

Benefits

• A stable, long-term contract with opportunities for career growth
• A remote-friendly culture that promotes work-life balance
• Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
• Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
• A flexible Paid Time Off (PTO) policy as well as paid holiday days
• Challenging, world-class software projects for clients in the US and LatAm
• Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment