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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
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
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
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