Machine Learning Engineer (Remote)

Public sector agencies, utilities and large health systems licence our asset management platform under multi-year contracts. More than 9,000 organisations use our HR and payroll suite, from regional hospitals to school districts. Laptops are MacBook Pros, and you pick your own editor.

Position summary

This is a new position created as the team has grown over the last year. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. We're looking for an engineer to build retrieval-augmented generation features on hosted and open-weight language models, with proper evaluation. Our headquarters is in Brisbane, and about a third of the team works remotely from other countries. Contract role, full-time hours, paid in USD at the end of each month. Core hours overlap with Sydney business hours until mid-afternoon. A stable internet connection and a backup power option are required.

Main duties

• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow.
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure.
• Document model cards, data sources and known failure modes.
• Cut inference cost with quantization, batching and caching.
• Monitor models for drift, data quality issues and latency regressions.
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM.

Minimum qualifications

• 3-5 years of software engineering experience, with at least two spent on ML systems in production.
• Hands-on experience with PyTorch, TensorFlow or JAX.
• Strong Python and solid engineering habits (testing, packaging, code review)
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Experience deploying models as services and monitoring them.
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)

Preferred

• Recommendation or ranking systems at scale.
• Distributed training with DeepSpeed or FSDP.

Rate: $3,600 - $4,400/month

What you get

• Long-term engagement.
• Paid in USD.
• Annual rate review.

Let us know your current notice period and salary expectations.

Duration: 6 months. Start: Within 30 days.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Tillwork Pty Ltd.