Applied AI ML Associate Senior
Tasks
- Build end to end deep learning workflows
- Create evaluation harnesses
- Develop training pipelines
- Diagnose training and data issues
- Ensure explainability and audit readiness
- Implement and debug neural network models
- Implement monitoring and rollback procedures
- Integrate models into production inference pipelines
- Optimize models for deployment constraints
- Participate in code and model reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Batching | CI/CD | Calibration | Convolutional Neural Networks | Data Preprocessing | Docker | Efficient Fine Tuning | Entity Extraction | Error Analysis | Fine Tuning | Hyperparameter Tuning | Knowledge Distillation | Kubernetes | Language Processing | Latency profiling | Long Short | Long Short-Term Memory | MLOps | Model Evaluation | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | Optical character recognition | Parameter efficient fine-tuning | PySpark | PyTorch | Python | Quantization | Quantization aware training | Robustness Testing | SQL | Short Term Memory | Spark | TensorFlow | Thresholding | Train Validation Test | Train validation test splits | Transformers
Education
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