Machine Learning Engineer

Company Description

The sky's not the limit at Nearmap

We’re a SaaS company, with proprietary hardware and software that’s continuously advancing through our commitment to innovation. The sky’s the limit when it comes to what we can and plan to do for our customers. Our imagery is just the starting point. Our impact comes from our people, applying complex analysis, interpretation and artificial intelligence that opens up all sorts of possibilities for our customers.

Job Description

The Insurance AI team conducts technical work to design, develop, and support products that use Nearmap and third-party data to derive insurance risk insights. While our data scientists focus on modeling and analysis, the Machine Learning Engineer ensures they have the robust, scalable, and efficient tools, pipelines, and development environments they need to deliver.

In this role, you will :

Act as the Insurance AI team’s champion for code and tool reuse (python), ensuring models move smoothly from concept to reliable operation in production, and helping the team leverage “Nearmap scale” data effectively to build and deploy the best models.

• Design and build data and model pipelines that enable the full lifecycle of model development, testing, deployment, and monitoring.
• Adapt, extend, and productionize tooling from the broader AI & Computer Vision (AICV) team in Sydney to meet the specific needs of the Insurance AI team.
• Operate within cloud-based infrastructure, making use of internal and external APIs, bucket storage, databases, cloud compute and other technologies to integrate data, models, and workflows into scalable production systems.
• Ensure our infrastructure and processes support experimentation at speed while maintaining high standards for reliability, security, and scalability.

While prior experience in insurance or deep learning on aerial imagery is not required, familiarity in these areas will be considered a plus.

Key Responsibilities :

Contribute to ML pipelines on cloud native technologies for data ingestion, feature processing, model training, deployment, and monitoring in AWS.

2. API Integration & Tooling Adaptation

Develop, consume, and integrate both internal and external APIs to connect datasets, models, and services in collaboration with other engineers.

3. Collaboration & Technical Leadership

Qualifications

Mandatory :

Highly desirable :

Additional Information

Some of our benefits

Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include :

Working at Nearmap

We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.

If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.

Watch some of our videos and find out more about what a day in the life at Nearmap looks like.

https : / / youtu.be / WSMYfAEdAe4

https : / / youtu.be / ZEGdSLWdrH0

https : / / youtu.be / JuHBJk2uuD8

https : / / youtu.be / 8mSSG6uICW0

To hear an interview with Brett Tully, Director of AI Output Systems on the Super Data Science podcast, click this link :  https : / / www.superdatascience.com / 533

Mapscaping podcast :  https : / / mapscaping.com / blogs / the-mapscaping-podcast / collecting-and-processing-aerial-imagery-at-scale

Read the product documentation for Nearmap AI : https : / / docs.nearmap.com / display / ND / NEARMAP+AI

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