Machine Learning Engineer
Tasks
- Build MCP servers and A2A agents
- Build data and model pipelines
- Collaborate with cross-functional teams to deliver ML solutions
- Deploy machine learning models to production
- Implement CI/CD pipelines for ML
- Maintain and troubleshoot ML pipelines
- Monitor model performance in production
- Optimize model latency and throughput
Perks/Benefits
- Employee discounts
- Flexible working options
- Headspace access
- Health package
- Learning and development support
- Paid holiday
- Paid parental leave
- Paid volunteering days
- Pension
Skills/Tech-stack
AWS | Apache Beam | Apache Spark | Azure | CI/CD | Cloud Computing | Databricks | Dataflow | Docker | GCP | Kubeflow | MLOps | Machine Learning | Model Monitoring | Model Performance Optimization | Model performance | Performance optimization | PyTorch | Python | SageMaker | Scikit-learn | TensorFlow | Vertex AI
Education
N/A
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