AI/ML Professional - JL6

Educational Requirements Bachelor of Engineering Service Line Quality Responsibilities 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 Preferred Skills Technology->AI-Data science->PYTHON Technology->AI-Generative AI->Generative AI - Basic->model framework (langchain) Technology->AI-AI Engineering->LLMOps