Machine Learning Engineer - Applied ML & Research
Tasks
- Build training and inference pipelines
- Communicate model results
- Contribute to code quality and documentation
- Deploy machine learning models
- Design machine learning solutions
- Ensure responsible machine learning
- Identify machine learning use cases
- Implement observability
- Improve reproducibility and testing
- Monitor model performance
- Perform feature engineering
- Train and evaluate models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CloudFormation | Cognito | EC2 | EKS | Feature Engineering | Inference pipeline | Kafka | Language Models | Large Language Models | MLflow | Machine Learning | Metaflow | Model Deployment | Model Evaluation | PyTorch | Python | SQL | Training Pipeline | XGBoost | ZenML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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