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- Programming: Python, R, SQL
- ML algorithms:
- Statistical ML algorithms
- Deep Neural Network architectures
- Model ensembling
- Generative AI models
- ML for Responsible AI
- AI domains - NLP, speech, computer vision, structured data
- Learning patterns – supervised, unsupervised, reinforcement learning
- Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
- Knowledge of different Model fine tuning approaches for Large models
- Knowledge of datasets, pre-built models available in open community and 3rd party providers
- Knowledge of software development & architectures
- Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP
- Knowledge of Model Quantization and Pruning
- Past experience playing a Data Scientist role Technical skills
- Programming: Python, R, SQL
- ML algorithms:
- Statistical ML algorithms
- Deep Neural Network architectures
- Model ensembling
- Generative AI models
- ML for Responsible AI
- AI domains - NLP, speech, computer vision, structured data
- Learning patterns – supervised, unsupervised, reinforcement learning
- Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
- Knowledge of different Model fine tuning approaches for Large models
- Knowledge of datasets, pre-built models available in open community and 3rd party providers
- Knowledge of software development & architectures
- Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP
- Knowledge of Model Quantization and Pruning
- Past experience playing a Data Scientist role
Key Skills
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