Senior Machine Learning Engineer
Tasks
- Analyze customer data
- Build machine learning models
- Collaborate on design and code reviews
- Conduct model serving
- Deploy machine learning models to production
- Develop new machine learning models
- Develop scalable data processing pipelines
- Evaluate machine learning models
- Implement machine learning best practices
- Monitor machine learning domain developments
Perks/Benefits
- Birthday leave
- Confidential counselling
- Financial guidance
- Free parking
- Legal support
- Mentorship programme
- Online learning
- Remote Working
- Staff discount
Skills/Tech-stack
AWS SageMaker | AWS Sagemaker Endpoints | Agile | Amazon Web Services | Big Data | BigQuery | Cloud platform | Data Mining | Docker | Google Cloud | Google Cloud Platform | KServe | Kafka | Kubeflow | Kubernetes | Linux | MLflow | Machine Learning | Pandas | PyTorch | Python | Redis | SageMaker Endpoints | Sagemaker Pipelines | Scikit-learn | Statistical Analysis | TensorFlow | TensorFlow Extended | TensorFlow Serving | VertexAI | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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