ML Engineer
Core
Design, build, and deploy machine learning models and production systems for recommendation, forecasting, segmentation, and fraud detection in an Australian eCommerce environment.
Role type
Senior Machine Learning Engineer (MLOps & Production Systems)
Builds
Scalable ML services, MLOps pipelines, and LLM-powered applications for real-time and batch predictions.
Domain
eCommerce, Retail, Marketing, Logistics, Finance
Deliverable
production ML models
Required skills
Python, Machine Learning, MLOps, SQL, Cloud Platforms (GCP), Software Engineering Best Practices, LLMs & Generative AI
Preferred skills
Recommendation Systems, ML Platforms (Vertex AI, Databricks, SageMaker), Streaming Systems (Kafka), LLM Application Deployment
Technologies
Python, SQL, GCP (Vertex AI, BigQuery, Cloud Run), Git, CI/CD, Kafka, Pub/Sub, Vector Databases, RAG architectures
Responsibilities
Design and deploy ML models for business problems; Build reliable production ML services; Develop MLOps pipelines for automation; Create feature engineering workflows; Implement model monitoring and optimization; Collaborate cross-functionally to identify ML opportunities.
Seniority
Senior, hands-on IC
