MLOps Engineer

• 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 ML performance, monitoring, availability, and security
• Collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end

This role directly contributes to reducing waste, cutting CO₂, and making the built environment more efficient and sustainable through AI-driven infrastructure design.

• Experience building and maintaining ML pipelines in production
• Strong backend development skills (APIs, microservices)
• Expertise in cloud-native ML infrastructure (AWS, GCP, or Azure)
• Proficiency with MLOps tools and practices

Competitive compensation and benefits package. Join a lean, highly technical team with the speed of a startup and the resources of a global engineering firm.

AECOM is a leading global engineering firm delivering infrastructure and building design, with a mission to deliver a better world through AI transformation and sustainable solutions.