Machine Learning Engineer
Tasks
- Build CI CD pipelines for model deployment
- Build data pipelines for model training
- Collaborate on dataset preparation and feature engineering
- Debug model and system behavior using metrics and logs
- Debug production issues in real world environments
- Deploy and monitor models in production
- Design services to expose ML models to end customers
- Establish machine learning best practices
- Evaluate models and analyze failures
- Implement end-to-end ML workflows
- Monitor model performance in production
- Optimize code quality and testing for reliability
- Own and manage team datasets
- Run large scale training and data processing
- Transition research code to production models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | CI/CD | Computer Vision | GCP | Go | JAX | Kubernetes | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Optimization | PyTorch | Python | Representation Learning | Streaming | TensorFlow | TypeScript
Education
N/A
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