Responsibilities
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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