Senior Associate Data Scientist

• 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

Education: Bachelor of Engineering

Preferred skills: Technology->data science->PYTHON,Technology->Machine learning->data science,Technology->Machine Learning->Generative AI