AI / Machine Learning Engineer II
Tasks
- Build MLOps workflows including versioning retraining and rollback
- Build personalization and recommendation models
- Collaborate with engineering data product and analytics teams to productionize models
- Deploy machine learning models with batch or real time inference
- Design and run A B tests and holdouts
- Develop feature engineering pipelines using large scale data
- Lead applied machine learning initiatives end to end
- Measure incremental customer and business impact
- Perform model evaluation hyperparameter tuning and diagnostics
- Prepare data and develop machine learning models
- Set up monitoring observability and continuous optimization
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | Batch inference | BigQuery | CI/CD | Causal Inference | Contextual Bandits | Feature Engineering | Hyperparameter Tuning | MLOps | Machine Learning | Model Monitoring | Observability | Pricing Optimization | Python | Real Time | Real-time Inference | Recommendation Systems | SQL | Statistical significance | Supervised Learning | Uplift Modeling
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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