Senior Analyst - Data Science

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: o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o 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

Bachelor of Engineering