Senior Machine Learning Engineer
Tasks
- Build ML pipelines
- Create technical documentation
- Define performance metrics
- Deploy machine learning models
- Design predictive models
- Develop ML inference APIs
- Develop machine learning decision engines
- Implement distributed training workflows
- Integrate with enterprise systems
- Monitor model drift
- Provide mentorship to engineers and data scientists
- Set up monitoring and alerting
- Tune hyperparameters
Perks/Benefits
Skills/Tech-stack
API Development | Airflow | BigQuery | Cloud Run | Cloud platform | Data Preprocessing | Deep learning | Distributed Training | Experiment tracking | Feature Engineering | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | MLflow | Machine Learning | Model Deployment | Model Monitoring | Online Inference | PyTorch | Python | Responsible AI | SQL | Scikit-learn | TensorFlow | Vertex AI
Education
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