Senior Machine Learning Engineer
Tasks
- Architect and deploy ML systems
- Design A/B and multivariate tests
- Design Deep Learning architectures
- Develop production-grade code and APIs
- Evaluate model performance against business KPIs
- Implement MLOps pipelines
- Manage real-time feature pipelines
- Monitor models for drift and performance
- Process and extract features from large datasets
- Train and tune supervised models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | B testing | C++ | CI/CD | CatBoost | Data Drift | Data Drift Detection | Data Processing | Deep learning | Distributed Computing | Docker | Drift Detection | Factorization machines | Go | Gradient boosting | Hypothesis Testing | Java | Kubernetes | LightGBM | Low Latency | Low-Latency Systems | MLlib | Microservices | Model Deployment | Monitoring | ONNX | PyTorch | Python | Ray | Recommendation Systems | Rust | SQL | Scala | Spark | Structured data | TensorFlow | TensorRT | XGBoost
Education
Bachelor's | Master's | Ph.D.
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