.Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Job DescriptionVisa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.Our VCA teams offer:Consulting services customized to the needs of Visa client's business objectives and strategyBusiness and economic insights and perspectives that impact business and investment decisionsSelf-service digital solutions Visa clients can leverage to improve performance in product, marketing and operationsProven data-driven marketing strategies to increase clients' ROIThe Machine Learning Operations (MLOps) team under Data Science LAC is a multidisciplinary group responsible for designing robust data infrastructures, developing innovative machine learning solutions, enforcing data governance standards, and aligning machine learning projects with business objectives to drive business value and revenue generation in VCA LAC.The ideal candidate for the Machine Learning Solutions within MLOPs is a talented professional capable of developing state-of-the-art data solutions and enhancing existing ones to address complex business problems.ResponsibilitiesFocusing on MLOps, working closely with the Machine Learning Solutions team to automate and integrate their models into an end-to-end automated workflow.Enhance the efficiency of the data engineering operating system by integrating and connecting diverse data platforms across the Visa technology ecosystem.Utilizing accelerated computing technology and computing clusters to improve our data engine and boost performance on large-scale data analytics.Implementing data quality checkpoints across ML solutions to promote confidence among data users.Creating data governance strategies to ensure consistent and accurate data and ML products.Translate data into relevant insights and introduce innovative approaches to upgrade data engineering processes.Guiding the Machine Learning Solutions team on best practices around automation, deployment, and optimization and providing feedback to increase efficiency in projects.Collaborating with practice areas in Machine Learning Solutions, Core Data Engineering, and global teams to leverage Visa's resources effectively
