Data Scientist

Responsibilities

• Anchor ML development track in a client project
• Data collection, profiling, EDA & data preparation
• AI Model development, experimentation, tuning & validation
• Present findings to business users & project management teams
• Propose ML based solution approaches & estimates for new use cases
• Contribute to AI based modules in Infosys solutions development
• Explore new advances in AI continuously and execute PoCs
• Mentoring – Guide junior team members & evangelize AI in organization

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