Senior Software Engineer (Machine Learning)
Tasks
- Architect machine learning systems
- Automate model retraining and versioning
- Build machine learning feature pipelines
- Deploy low latency inference models
- Design real-time inference APIs
- Evaluate offline metrics
- Implement MLOps pipelines
- Monitor data drift and concept drift
- Run A/B and multivariate tests
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | CI/CD | Calibration | CatBoost | Concept drift | Data Drift | Docker | Factorization machines | Flink | High Throughput | Hypothesis Testing | Inference Server | Kafka | Lift | LightGBM | LogLoss | Low Latency | Microservices | ONNX | PR AUC | PyTorch | Python | Ray | SQL | TensorFlow | TensorRT | Triton Inference | Triton Inference Server | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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