MLOps Engineer

Role Overview

As part of AECOM's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. This is a high-ownership role where your decisions directly affect developer velocity and production stability.

What You Will Do

Build and maintain robust ML pipelines for training, deployment, and monitoring, develop backend systems and APIs that integrate AI into our SaaS platform, take ownership of the ML performance, monitoring, availability, and security, collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end.

Why It Might Be a Fit

Work on real-world problems where AI creates measurable impact, be part of a team where your work matters, and your ideas become real, collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django)
• Hands-on experience with ML model deployment and monitoring in production
• Knowledge of containerization (Docker)
• Experience with CI/CD pipelines and cloud environments (we use Azure)
• Strong communication skills and a collaborative mindset

Benefits

• medical
• dental
• vision
• life
• AD&D
• disability benefits
• paid time off
• leaves of absences
• voluntary benefits
• perks
• flexible work options
• well-being resources
• employee assistance program
• business travel insurance
• service recognition awards
• retirement savings plan
• employee stock purchase plan