Senior Machine Learning Engineer
Tasks
- Architect experiments to validate model performance
- Build train deploy machine learning models
- Collaborate with cross-functional teams
- Conduct causal inference for experimentation
- Design production machine learning infrastructure
- Implement MLOps pipelines
- Mentor machine learning and data engineering best practices
- Monitor model performance in production
- Perform uplift modeling
- Run A B testing for model improvement
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | BigQuery | CI/CD | Causal Inference | Dask | Docker | Embeddings | Feature Engineering | Kubeflow | Kubernetes | LLMs | MLOps | Machine Learning | NumPy | Pandas | PyTorch | Python | Ray | Spark | TensorFlow | Transformers | Uplift Modeling | Vertex AI | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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