Machine Learning Engineer - Sr. Consultant Level

Visa Visa · Fintech · Austin, TX

Visa is seeking a Senior Consultant level Machine Learning Engineer to focus on crafting new capabilities for their AI Platform. The role involves web application and web service development, working within Agile Scrum teams to deliver production-ready code. Responsibilities include collaborating with project teams, driving end-to-end development, managing risks, and presenting technical solutions. The role requires expertise in languages like Golang, Java, or C++, web service standards, distributed systems, Big Data technologies, and caching. While the role is within an AI Platform, the core responsibilities lean towards engineering and product delivery rather than core AI/ML research or model building.

What you'd actually do

  1. 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.
  2. Drive development effort End-to-End for timely delivery of high quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. Responsibilities span all phases of solution development.
  3. Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
  4. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a detailed and timely manner.

Skills

Required

  • web application development
  • web service development
  • Golang, Java, or C/C++
  • web service standards and related patterns (REST, gRPC)
  • large scale, enterprise class distributed system or subsystems
  • high availability, low-latency, & strong data consistency computing
  • Big Data and analytics
  • distributed caching technologies
  • metrics instrumentation
  • Continuous Integration and Continuous Delivery

Nice to have

  • Hadoop
  • Spark
  • Flink
  • MapReduce
  • Redis

What the JD emphasized

  • AI Platform
  • production-ready code
  • high availability, low-latency, & strong data consistency computing