# Machine Learning Engineer

Hiring organization: [Moody's Corporation](https://career.thegoodapps.co/organizations/moody-s-corporation)

Canonical page: https://career.thegoodapps.co/jobs/394a0dc4-30c9-4c6c-b6c2-af9679b5ad8f

Listed on Moody's Corporation's own careers site. Applications go to them directly.

- Employment type: full time
- Location: Chicago, IL
- Salary: 95500 – 138550 USD per year

## Summary

This role develops machine learning and computer vision solutions for Moody's property intelligence platform, working with geospatial imagery to help organizations assess climate and economic risks. It suits engineers with 2+ years of ML experience who want to apply deep learning and AI governance expertise to real-world risk assessment problems at scale.

_Our summary, not Moody's Corporation's wording._

## Skills named

Active Learning, Amazon Web Services (AWS), Computer Vision, Docker, Geographic Information Systems, Git, Google Cloud Platform, Jupyter, Machine Learning, NoSQL, NumPy, Pandas, Python, PyTorch, SQL, Supervised Learning, Unsupervised Learning

## Required

- Advanced degree in Science, Technology, Engineering, or Mathematics
- Minimum 2 years hands-on industry experience in machine learning, computer vision, data science, or related field
- Expertise in Python and ML libraries like NumPy, Pandas, PyTorch
- Knowledge of supervised and unsupervised machine learning algorithms
- Experience with modern ML tools and platforms including Jupyter, Docker, Git, and AWS or GCP
- Experience extracting data from SQL and NoSQL databases
- U.S. work authorization without visa sponsorship

## Nice to have

- Machine learning operations practices including CI/CD pipelines, model monitoring, and model maintenance
- Experience with geographic information systems
- Experience building data tools for ETL processes

Apply on Moody's Corporation's site: https://careers.moodys.com/en/job/golden/machine-learning-engineer/49841/99815867328