Work with Us. Change the World.
As a Senior Software Engineer in AECOM’s AI Engineering team, you will work at the intersection of software engineering and machine learning operations. Your code will shape the physical world by building AI‑driven technology that reduces waste, cuts CO2, and makes the built environment more efficient and sustainable.
What You’ll Do
Design and build platform services, evolving system architecture and improving reliability. Resolve technical issues and make trade‑offs in areas such as database design and schema evolution. Ensure ML models run reliably, efficiently, and at scale, turning research into production‑ready tools using Python and solid software engineering practices. Deploy, monitor, and optimize AI workloads using Docker, GitHub Actions, and CI/CD pipelines.
Must-Have Qualifications
* Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
* Solid programming skills in Python and experience with frameworks such as FastAPI, Flask, or Django.
* Hands‑on experience with ML model deployment and monitoring in production.
* Knowledge of containerization (Docker).
* Experience building CI/CD pipelines (GitHub Actions).
* Experience working within startups or scaleups.
* Strong communication skills and a collaborative mindset.
* Knowledge of Agile delivery models (Scrum/Kanban) and software development best practices.
* Hands‑on experience building production‑grade systems.
Preferred Skills
* Understanding of optimizing both CPU‑bound and GPU‑bound workloads.
* Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK stack.
* Experience with Infrastructure as Code (Terraform).
* Experience with Azure.
* Identifying and resolving bottlenecks in distributed machine learning workloads; knowledge of low‑level languages and CUDA library is a plus.
* Experience in building design automation products within the construction industry.
All your information will be kept confidential according to EEO guidelines.
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