Machine Learning Engineer

Job description

We are seeking a highly skilled Machine Learning Engineer to enhance and optimize our data extraction pipeline for commercial real estate lease processing. This role focuses on fine-tuning text classification models, improving training datasets, and working with large volumes of unstructured text data. The ideal candidate has experience with natural language processing (NLP), model retraining workflows, and cloud-based ML deployment.

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.

  • 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

Stack:

  • Python (primary language)
  • AWS (cloud infrastructure)
  • Scikit-learn (ML models)
  • OpenAI (Azure API integration)
  • Claude (via AWS Bedrock)
  • OCR tools (e.g., Marker)
  • Standard NLP/text processing libraries

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:

  • 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

Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

Share this job:
Please let Devsu know you found this job on Remote First Jobs 🙏

Similar Remote Jobs

Benefits of using Remote First Jobs

Discover Hidden Jobs

Unique jobs you won't find on other job boards.

Advanced Filters

Filter by category, benefits, seniority, and more.

Priority Job Alerts

Get timely alerts for new job openings every day.

Manage Your Job Hunt

Save jobs you like and keep a simple list of your applications.

Search remote, work from home, 100% online jobs

We help you connect with top remote-first companies.

Search jobs

Hiring remote talent? Post a job

Frequently Asked Questions

What makes Remote First Jobs different from other job boards?

Unlike other job boards that only show jobs from companies that pay to post, we actively scan over 20,000 companies to find remote positions. This means you get access to thousands more jobs, including ones from companies that don't typically post on traditional job boards. Our platform is dedicated to fully remote positions, focusing on companies that have adopted remote work as their standard practice.

How often are new jobs added?

New jobs are constantly being added as our system checks company websites every day. We process thousands of jobs daily to ensure you have access to the most up-to-date remote job listings. Our algorithms scan over 20,000 different sources daily, adding jobs to the board the moment they appear.

Can I trust the job listings on Remote First Jobs?

Yes! We verify all job listings and companies to ensure they're legitimate. Our system automatically filters out spam, junk, and fake jobs to ensure you only see real remote opportunities.

Can I suggest companies to be added to your search?

Yes! We're always looking to expand our listings and appreciate suggestions from our community. If you know of companies offering remote positions that should be included in our search, please let us know. We actively work to increase our coverage of remote job opportunities.

How do I apply for jobs?

When you find a job you're interested in, simply click the 'Apply Now' button on the job listing. This will take you directly to the company's application page. We kindly ask you to mention that you found the position through Remote First Jobs when applying, as it helps us grow and improve our service 🙏

Apply