Neara
Senior Machine Learning Engineer (Platform)
Sydney, Remote. Posted 2 months ago
The role
The Senior MLOps Engineer builds and runs pipelines, deployment systems, and observability for ML models. You will own the training, evaluation, and deployment pipelines from data ingestion to customer environments.
What you will do
- Build and operate ML pipelines from data ingestion to customer environments
- Build CI/CD for models, artefact and model registries, reproducible environments, and infrastructure as code
- Implement monitoring, alerting, and drift and data quality checks
- Act as a first responder when something breaks
- Manage GPU clusters and scheduling
- Troubleshoot failures across cloud, on-prem, and neocloud environments
- Deploy and scale inference services
- Improve the tooling and workflows ML engineers use daily
- Document the standards that keep things consistent
Required qualifications
- Solid hands-on experience building and operating ML training pipelines, model serving, and monitoring systems in production
- Strong Python
- Working knowledge of PyTorch (or equivalent)
- Practical experience with distributed training and GPU infrastructure
- Experience in the cloud (AWS, GCP, or Azure)
- Experience with container orchestration (Kubernetes, Docker)
- Experience with infrastructure as code
- Experience with production model monitoring, data quality frameworks, and preparing training data for ML readiness
- Sound engineering judgement
Nice to have
- CUDA or kernel-level optimisation experience
- Exposure to point cloud or geospatial data
- Experience supporting deployments into regulated or air-gapped customer environments
Benefits
- Competitive salary
- Meaningful ESOP
- Fully Flexible Work Environment
- Fully stocked office and snack collection in Redfern
- Regular office events
About the company
Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The company builds models to help utilities pinpoint risks and build a more resilient global energy future.