Senior Machine Learning Systems Engineer
Tasks
- Architect graph data structure pipelines
- Build batch data processing pipelines
- Build model lifecycle platform
- Collaborate on model performance tuning
- Design MLOps patterns
- Develop graph ML codebase
- Maintain graph data structures
- Optimize model training time
- Process data in data warehouse
- Reduce GPU training costs
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Beam | Apache Spark | BigQuery | Cloud Storage | Cloud platform | Deep Graph Library | Distributed Training | Experiment tracking | GPU Profiling | Google Cloud | Google Cloud Platform | Google Cloud Storage | Graph Databases | Graph Neural Networks | JanusGraph | Kubernetes | MLflow | Memory profiling | Model Registry | Model Serving | Neo4j | Neural Networks | PyTorch | PyTorch Geometric | Python | Ray | Ray Data | TensorFlow | Terraform | TigerGraph | Weights & Biases
Education
N/A
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