ML Engineer
South Melbourne, Victoria
AUD 150K-200K (estimate) Senior-level Full Time
Tasks
- Automate model training validation deployment monitoring retraining
- Build real time batch prediction services
- Collaborate with product managers engineers analysts to identify opportunities
- Create feature engineering datasets and pipelines
- Design evaluate deploy large language model solutions
- Design, build, deploy machine learning models
- Develop maintain MLOps pipelines
- Implement model monitoring for drift and accuracy
- Optimize model performance and business impact
Perks/Benefits
- Career development opportunities
- Community volunteering
- Company events and celebrations
- Hackathons
- Health and wellness program
- Learning and development
- Learning budget
- Lunch and learns
- Team member referral program
Skills/Tech-stack
Amazon SageMaker | BigQuery | CI/CD | Cloud Run | Cloud platform | Containerization | Databricks | Embeddings | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Kafka | Kubeflow | MLOps | Machine Learning | PubSub | Python | Retrieval-Augmented Generation | SQL | Testing | Vector Databases | Vertex AI
Education
N/A
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