Job Overview
Nearmap is a pioneering tech firm in the field of location intelligence. We rely on consistent, reliable high-resolution imagery and insights.
About the Role
The Machine Learning (ML) Systems Engineer builds and operates AI models at scale. You will design infrastructure, pipelines, and tools supporting traditional ML to Large Language Models.
Key Responsibilities
* Build core platform on Kubernetes for model training and inference
* Develop tooling to streamline ML/LLM lifecycle
* Drive MLOps and AIOps principles
* Collaborate with Data Scientists and ML Engineers
Requirements
Bachelor's degree in Computer Science or related field, or equivalent experience. 2+ years of software engineering experience. Strong proficiency in Python within a Linux environment.
Desirable Skills
* Experience building infrastructure on cloud platforms
* Familiarity with Infrastructure as Code tools
* Practical experience with MLOps/LLMOps lifecycle and observability stacks
Benefits
As an integral member of our team, you will have opportunities to develop your skills and contribute to groundbreaking projects.
Other Opportunities
We are committed to fostering a collaborative and supportive work environment that encourages growth and innovation.