AIML - Test Automation

•Data collection, profiling, EDA & data preparation • AI Model development, tuning & validation •Visualization tools (e.g., PowerBI, tableau) • Present findings to business users & project management teams • Propose ML based solution approaches and 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 other team members • ML algorithms • AI domains: NLP, speech, computer vision • Supervised, Unsupervised, Reinforcement learning • Tools for data analysis, auto ML, model deployment and scaling • Knowledge of datasets • Programming: Python •Databases • Knowledge of cloud platforms: Azure/AWS/GCP.