This role involves working at the intersection of software engineering and machine learning operations to build AI-driven technology that revolutionizes infrastructure design
Job Summary
This role involves working at the intersection of software engineering and machine learning operations to build AI-driven technology that revolutionizes infrastructure design.
The team operates with the speed and ownership of a startup while being backed by the resources of one of the world's leading engineering firms.
Employees will contribute to making the built environment smarter and more sustainable by reducing waste and cutting CO2 emissions through measurable real-world impact.
Matching Summary
This role involves working at the intersection of software engineering and machine learning operations to build AI-driven technology that revolutionizes infrastructure design.
Skills & Requirements
Must-have
Python programming with FastAPI or Flask
ML model deployment and monitoring in production
Docker containerization experience
GitHub Actions CI/CD pipeline building
Startup or scaleup environment experience
Production-grade system architecture design
Nice-to-have
CPU and GPU workload optimization knowledge
Prometheus, Grafana, or ELK stack observability
Terraform Infrastructure as Code expertise
Azure cloud platform experience
CUDA library and low-level language skills
Construction industry design automation background
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
Hands-on experience with ML systems and Python frameworks
Strong communication skills and collaborative mindset