Machine Learning Engineer (mlops)

Company: Burtch Works

Location: Washington, DC

Posted on: October 25

Job Title: Machine Learning Engineer (MLOps)

Location: Washington, D.C. (Hybrid - 2 days onsite)

About The Company

Our client is a global leader in AI-optimized scheduling and forecasting platforms, empowering and rewarding individuals in the fast-food and Quick Service Restaurant (QSR) industry through innovative solutions. The company fosters a dynamic startup environment, encouraging innovation, collaboration, and ownership.

Job Summary

The Machine Learning Engineer will design, train, deploy, and monitor machine learning models that address real-world customer needs. This role is central to scaling AI-powered scheduling and forecasting solutions. The position is based in Washington, DC, and reports to the Chief Analytics Officer.

Key Responsibilities

Build and test machine learning models to support their platform.
Design, build, and deploy data and ML pipelines on AWS.
Enable an iterative lifecycle for data products to improve, integrate, and deploy.
Standardize workflows, analysis, and modeling for deployment and observability in production.
Develop monitoring and observability systems for ML models and experiments.
Collaborate across teams to align modeling with engineering standards.

Requirements