Data Scientist II
Tasks
- Build NLP models
- Build data pipelines
- Deploy machine learning pipelines
- Design validation strategies
- Engineer data features
- Evaluate model performance
- Fine-tune large language models
- Optimize training with GPU/TPU
- Perform bias and fairness checks
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Adapters | Azure Machine Learning | CI CD for ML Pipelines | CI/CD | CI/CD for ML | Databricks | Deep learning | DeepSpeed | Diffusion Models | Efficient Fine Tuning | Experiment tracking | Fine Tuning | GPU Optimization | Google Vertex | Google Vertex AI | Hugging Face | Language Models | Language Processing | Large Language Models | LoRA | ML pipelines | MLOps | Machine Learning | Mixed Precision | Mixed-precision training | Model versioning | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Prefix Tuning | PyTorch | PyTorch Lightning | Quantization aware training | Ray | Spark | TPU optimization | TensorFlow | Transformers | Vertex AI
Education
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