ML Scientist / Machine Learning Engineer
Tasks
- Automate model deployment
- Build ELT workflows
- Build ETL workflows
- Build MLOps systems
- Build feature engineering systems
- Build inference pipelines
- Design personalization models
- Design pricing models
- Design ranking models
- Design recommendation models
- Develop machine learning platform
- Evaluate model performance metrics
- Implement observability for model systems
- Optimize model performance SLOs
- Optimize system cost
- Productionize machine learning models
- Serve and monitor model inference
Perks/Benefits
Skills/Tech-stack
AWS | Cost Optimization | Databricks | Deployment Automation | ELT | ETL | MLOps | Model Serving | Monitoring | Observability | Personalization | Pricing | Python | Ranking | Recommendation Systems | Scalability | Zipline
Education
N/A
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