Machine Learning Engineer
Tasks
- Build and maintain production machine learning pipelines
- Collaborate with engineering, product, and operations teams
- Design LLM based structured data extraction systems
- Develop and deploy machine learning models
- Implement measurement and risk controls
- Improve ML lifecycle tooling and system architecture
- Monitor model performance and reliability
- Run offline experiments and prototyping
Perks/Benefits
- Employee stock purchase plan
- Equity opportunities
- Health, dental and vision coverage
- Lifestyle Allowance
- Paid time off
- Parental leave
- Performance-based rewards
- Remote-first work model
- Technology allowance
- Wellness allowance
Skills/Tech-stack
Airflow | Anthropic API | CatBoost | Data Modeling | Debugging | Deep learning | Document parsing | Gradient boosting | Kubeflow | Language Models | Large Language Models | LightGBM | MLflow | Machine Learning | Model Deployment | Model Evaluation | Monitoring | OCR | OpenAI API | Prompt engineering | Python | Tabular Data | Tabular Data Modeling | XGBoost
Education
N/A
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