ChatGPT Jobs · 23 hours ago
Machine Learning Engineer - Insurance AI
Nearmap is seeking a Machine Learning Engineer to join their Insurance AI team. The role involves building and maintaining ML infrastructure, collaborating with Data Scientists and ML Engineers to turn models into reliable, scalable products for US-specific use cases.
Computer Software
Responsibilities
Build and maintain ML pipelines for data ingestion, feature processing, model training, deployment, and monitoring in AWS
Extend and adapt existing tooling from our Sydney AICV team for US Insurance AI use cases
Develop and support internal tools and frameworks that streamline experimentation and improve delivery speed
Integrate internal and external APIs to connect datasets, models, and services
Partner with Data Scientists to understand their workflow needs and translate them into scalable technical solutions
Ensure infrastructure supports rapid experimentation while maintaining reliability, security, and scalability
Collaborate with Technical Product Managers, API engineers, and platform teams to deploy models in production
Contribute to a shared codebase through feature branches, pull requests, and code reviews
Qualification
Required
2-4 years as a Machine Learning Engineer or ML-focused Software Engineer
Strong Python skills with a track record of writing clean, tested, production-grade code
Hands-on experience with ML libraries like PyTorch, scikit-learn, and pandas
Experience building and maintaining ML pipelines in production environments
Solid SQL skills and familiarity with data engineering tools (Airflow, Spark, or dbt)
The ability to jump into an existing codebase, understand it, and extend it
Clear communication skills and comfort working across time zones
Preferred
AWS experience (S3, EC2, ECS, or similar)
Experience consuming and integrating REST APIs at scale
Docker and containerisation experience
MLOps experience including CI/CD and model monitoring
Familiarity with geospatial or aerial imagery data
Experience with pipeline orchestration tools like Ray, Kubeflow, or Flyte
Benefits
Quarterly wellbeing day off - Four additional days off a year as your "YOU" days
Company-sponsored volunteering days to give back.
Generous parental leave policies for growing families.
Access to LinkedIn Learning for continuous growth.
Discounted Health Insurance plans.
Monthly technology allowance.
Annual flu vaccinations and skin checks.
A Nearmap subscription (naturally!).
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase