AI/ML Professional - JL5

Educational RequirementsBachelor of EngineeringService Line QualityResponsibilities

• 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