Machine Learning Engineer - Senior Consultant Level- AI Platform - job 17 of 21

Ready to make a global impact by industrializing AI?

Visa AI as Services (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as Services is an ideal place for you!

This role is for a ML Engineer (Sr Consultant level) with a strong development background who will contribute to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission. In this position, you are first a passionate and hard-working machine learning specialist and system architect that can work in a multifaceted environment as a member of Agile Scrum teams.

This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. If you are experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you.

Essential Functions:

• 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.

• 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 precise and timely manner.

• Coaching and mentoring junior team members and evolving team talent pipeline.

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.