Software Engineer II
Tasks
- Apply ML evaluation and selection in production contexts
- Build ML pipelines for training validation deployment serving
- Deploy AI ML solutions on prem cloud hybrid
- Design build evolve knowledge graphs
- Design develop test deploy and support software components
- Develop batch and streaming data pipelines
- Ensure data quality consistency lineage performance
- Generate node and edge embeddings
- Integrate graph platforms with data ecosystems
- Manage model lifecycle versioning monitoring performance validation
- Mentor peers and less experienced engineers
- Optimize graph storage traversal query performance
- Participate in product and business design discussions
- Productionize machine learning models using graph features
- Provide reusable platform components
- Troubleshoot refactor modernize graph codebases
Perks/Benefits
- N/A
Skills/Tech-stack
Batch Processing | Data Engineering | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Embeddings | Graph Databases | Graph Modeling | GraphDB | Keras | Knowledge graphs | Kubeflow | Language Processing | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Neo4j | PyTorch | Python | Stream processing | TensorFlow | TigerGraph | Transformers
Education
N/A
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