Lead Data Scientist
Tasks
- Build data pipelines
- Deploy ML models in production
- Design model validation strategies
- Engineer features for ML
- Evaluate bias and fairness
- Fine tune large scale models
- Lead and mentor applied scientists
- Optimize model performance
- Train large language models
- Translate research into scalable solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | CI/CD | Databricks | Deep learning | Distributed Training | Efficient Fine Tuning | Experiment tracking | Feature Engineering | Fine Tuning | GPU Optimization | Hugging Face | Language Processing | LoRA | MLOps | Machine Learning | Mixed Precision | Mixed-precision training | Model versioning | NLP | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | PyTorch | Quantization aware training | Spark | TensorFlow | Transfer Learning | Transformers | Vertex AI
Education
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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