.Job Description And ResponsibilitiesVisa 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 offers :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.This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership / site), with a general guidepost of being in the office 50% or more of the time based on business needs.QualificationsBasic Qualifications :5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhDPreferred Qualifications :At least 5 years of experience as data engineer or data scientist with open-source tools.BA / BS required, MBA or other relevant Master's degree preferred (e.G. engineering, computer science, computer engineering, applied mathematics, or other related fields)Experience in retail banking, payments, financial services, and / or technology industries is a plus. Strong interest in the future of payments is a must.Strong technical competency and experience with shell-scripting and Linux systems.Experience with CI / CD pipeline using Azure DevOps, GitHub actions, Jenkins, or Airflow.Strong coding skills in Spark, Python and SQL to manipulate big data distributed platforms.Good to have experience in navigating in Linux / Unix / Container based apps such as Docker, Kubernetes, or Microservices environments.Ability to interact with big data clusters using Jupiter Notebooks, terminal, or GUI.Demonstrate experience leveraging open-source tools, libraries, and platforms.Experience with data visualization and business intelligence tools like Tableau, PowerBI, Microstrategy, or Excel
