AI/ML Professional

Job description

Educational Requirements Bachelor of Engineering Service Line Quality Responsibilities - Data Science Consultant with machine learning and Python experience. - Knowledge on end-to-end architecture of Data Science and machine learning project. - Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. - The candidate should provide technology consulting for defining right Data Science and ML use cases. Technical and Professional Requirements: - 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-AI Engineering->AI/ML Solution Architecture and Design->generative ai