Senior Machine Learning Engineer
Tasks
- Apply advanced modelling techniques and deploy to production
- Build and deploy fraud detection machine learning models
- Build machine learning pipelines and automation
- Collaborate cross functionally to ship models
- Develop and iterate on fraud detection models
- Engineer real time features from large scale datasets
- Monitor and evolve models for reliability and performance
- Own full machine learning lifecycle
Perks/Benefits
- Annual training budget
- Employee referral program
- Enhanced parental leave
- Home office setup allowance
- Hybrid working schedule
- Private healthcare
- Regular remote company offsites
- Remote working allowance
- Unlimited holidays
Skills/Tech-stack
Adversarial Modeling | Amazon Web Services | Apache Airflow | Apache Beam | Apache Spark | Batch Processing | BigQuery | Cloud platform | Counterfactual analysis | Data Processing | Deep learning | Distributed Systems | Feature Engineering | Fraud Detection | Google Cloud | Google Cloud Platform | Gradient boosting | Kubeflow | Machine Learning | Microsoft Azure | PyTorch | Real Time | Real-time Data | Real-time Data Processing | Series analysis | Time Series | Time Series Analysis | Vertex AI | Web Services
Education
N/A
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