Machine Learning Engineer
Tasks
- Build scalable data pipelines for feature engineering
- Deploy and operate ML model serving
- Design ML training pipelines
- Design and analyze A/B tests
- Evaluate emerging ML and MLOps research
- Monitor model performance in production
- Train and optimize recommendation models
Perks/Benefits
- Flexible working hours
- Free theme park tickets
- Hybrid work
- Meal allowance
- Multisport card
- On-demand leave
- Paid community volunteering leave
- Paid leave for moving house
- Premium life insurance
- Wellbeing allowance
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | B testing | Cloud platform | Feature Engineering | Google Cloud | Google Cloud Platform | Inference Server | Keras | Kubeflow Pipelines | MLOps | Model Monitoring | PyTorch | Python | Recommendation Systems | TFX | TensorFlow | TensorFlow Serving | Torchserve | Triton Inference | Triton Inference Server | Vertex AI
Education
N/A
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