SWE-3 Machine Learning Engineer
Tasks
- Design build and operate scalable backend and ML systems
- Develop and own MLOps pipelines
- Engineer data pipelines for training and feature engineering
- Implement and optimize machine learning and generative AI models for low latency serving
- Monitor system performance and resolve production issues
- Translate research prototypes into production code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Flink | Apache Hadoop | Apache Spark | Azure | CI/CD | Cloud platform | Data Pipelines | Distributed Systems | Docker | Feature Engineering | GRPC | Generative AI | Google Cloud | Google Cloud Platform | Java | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Monitoring | Model Training | Model Validation | PyTorch | Python | REST | Scala | TensorFlow
Education
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