The article discusses the intersection of artificial intelligence (AI), sustainability, and machine learning operations (MLOps) in the tech industry. It emphasizes the environmental impact of powering AI with machine learning, especially in terms of energy consumption and carbon emissions from cloud data centers. MLOps for Green AI is proposed as a solution to make AI smarter and greener by combining MLOps practices with sustainable DevOps approaches. The article provides practical tips and case studies on how to optimize resource usage, automate infrastructure, streamline ML pipelines, monitor carbon impact, and leverage sustainable ML techniques to reduce energy consumption and carbon footprint in AI operations.