Senior Software Engineer (Machine Learning )
Tasks
- Architect machine learning systems
- Build and deploy low latency models
- Build deep learning models for structured data
- Design offline and online feature pipelines
- Develop real-time inference APIs
- Ensure zero online offline feature skew
- Implement MLOps pipelines for retraining and versioning
- Monitor data drift and concept drift
- Process and extract features from large sparse datasets
- Run A/B and multivariate tests
- Select offline metrics and map to business KPIs
- Set up shadow deployments and CI CD for machine learning
- Train tune and scale supervised learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | B testing | C++ | CI/CD | CatBoost | Concept drift | Data Drift | Flink | Go | Inference Server | Java | Kafka | LightGBM | MLOps | Microservices | Multivariate Testing | ONNX | PyTorch | Python | Ray | Rust | SQL | Scala | TensorFlow | TensorRT | Triton Inference | Triton Inference Server | XGBoost
Education
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