Senior Machine Learning Engineer
Tasks
- Architect and deploy high-performance ML systems
- Design and execute A/B tests and evaluate model performance
- Manage MLOps pipelines, monitoring models in production
- Process massive datasets and build feature pipelines
- Train, tune, and scale models using gradient boosting and deep learning
- Write scalable production code and design real-time APIs
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | B testing | Big Data | Big data processing | C++ | Data Processing | Distributed Computing | Flink | Go | Java | Kafka | Low Latency | Low-Latency Systems | Microservices | Model Deployment | ONNX | PyTorch | Python | Ray | Recommendation Systems | Rust | SQL | Scala | Spark | Statistics | TensorFlow | TensorRT | Triton
Education
Bachelor's | Master's | PhD
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