MLOps Engineer

In AECOMs AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste cutting CO₂ and making the built environment more efficient and sustainable. This is where software has measurable real-world impact.

With our AI Engineering team weve created a unique setup: a lean highly technical team with the speed and ownership of a start up backed by the scale resources and domain expertise of one of the worlds leading engineering firms.

There has never been a better time to be  are leading the industrys AI transformation and with our people and technology we deliver excellence and innovate with impact.

We invite you to bring your bold ideas and big dreams to solve the worlds most complex challenges. Were one global team driven by our common purpose to deliver a better world. Join us.

What Youll Do

As part of our 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.

• 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
• Contribute to architecture decisions for scalable cloud-native ML infrastructure
• Stay up to date with the latest in MLOps practices and tools and bring improvements into the workflow

Qualifications :

Must-Have Qualifications

• Bachelors or Masters 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

Preferred Skills

• Experience with model versioning and experiment tracking (e.g. MLflow Weights & Biases)
• Understanding of optimizing both CPU-bound and GPU-bound workloads
• Knowledge of monitoring and observability tools (e.g. Prometheus Grafana ELK stack)
• Background in optimization reinforcement learning or generative AI (a plus not required)
• Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus)

Additional Information :

Our Hiring Process

• 25-minute screening call
• Take-home challenge: A hands-on task to assess your problem-solving and technical skills
• Combined technical and cultural interview (in-person)
  • Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge
  • Culture fit: 30-minute meeting with our leadership team

Why Join Us

• 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.
• Contribute to making the built environment smarter and more sustainable.

At AECOM we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

About AECOM

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status AECOM benefits may include 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 and employee stock purchase plan.

AECOM is the global infrastructure leader committed to delivering a better…