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Senior Machine Learning Engineer - AI Platform

Visa

Salary not specified
Aug 19, 2025
Austin, TX, USA
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Visa is looking to industrialize AI by operationalizing the delivery of AI and decision intelligence to ensure ongoing business values through Visa AI as a Service (AIaS)

Requirements

  • Experience in at least one or two of the following: Rust, Python, Java, Golang, or C/C++
  • Any experience with Flink, Spark, NoSQL or Kafka highly preferred
  • Familiarity with web service standards and related patterns (REST, gRPC)
  • Open to experience with AWS, GCP, or Azure, preferably in an AI/ML production environment
  • Open to experience with Prometheus, Grafana, Druid, ELK Stack
  • Open to experiences with K8s or DevOps
  • Open to experience implementing solutions for low-latency, distributed services using open standard technologies

Responsibilities

  • Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions
  • Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards
  • Responsibilities span all phases of solution development including collaborating with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved
  • Present technical solutions, capabilities, considerations, and features in business terms
  • Effectively communicate status, issues, and risks in a precise and timely manner

Other

  • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Hybrid employees can alternate time between both remote and office, with a general guidepost of being in the office 50% or more of the time based on business needs
  • Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site)
  • Strong technical leadership, problem-solving abilities, coding, testing and debugging skills