What are the responsibilities and job description for the Machine Learning Engineer - Sr. Consultant Level position at Visa?
Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web application and web service development who will focus on crafting new capabilities for the AI Platform while maturing our code base and development processes. You are a dedicated developer who can work and collaborate in a multifaceted environment as a valued member of our Agile Scrum teams. You should have strong problem-solving abilities and be passionate about coding, testing and debugging skills. You know how to fill product backlog and deliver production-ready code. You must be willing to go beyond the routine and be prepared to do a little bit of everything.
As an integral part of the development team, you will sometimes explore new requirements and design, and at times refactor existing functionality for performance and maintainability. But the goal is always working on ways to make us more efficient and provide better solutions to our end customers. Flexibility and willingness to tackle new tasks as needed are significant to success. If this sounds exciting to you, we would love to discuss and tell you more about our work!
Essential Functions:
- Function as the tech lead for new model onboarding to AI Platform.
- 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 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.
- Collaborate 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 detailed and timely manner.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.