Senior Machine Learning Engineer, GenAI Data
Tasks
- Architect data ingestion pipelines
- Automate heuristic evaluation metrics
- Build evaluation frameworks
- Build human in the loop evaluation interfaces
- Create synthetic data generation pipelines
- Design inference APIs
- Develop internal data labeling tools
- Generate synthetic multi modal datasets
- Implement experiment tracking for data and models
- Maintain data cleaning and preprocessing
- Monitor data pipeline health
- Optimize data loading performance
- Optimize low-latency inference
- Optimize performance of data loaders
- Perform literature reviews for model optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon S3 | Batch Processing | C plus plus | Data Pipelines | Data Preprocessing | Data cleaning | Distributed Processing | Evaluation Frameworks | Experiment tracking | Generative AI | Human-in-the-loop | Inference APIs | Kubeflow | MLflow | Machine Learning | Multi-Modal | Multi-modal data | Python | Ray | Real Time | Real-time Processing | Spark | Synthetic data | The Loop | Time processing | Weights and Biases
Education
Regions
Countries
States
Cities
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