Machine Learning Architect - Senior Consultant at Visa

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning Operations, Architecting, Building Automated Pipelines, Public Cloud Environment, Technical Leadership, Team Leadership, Compliance, Security, Hands-on Contribution, MLOps, Architectural Design, System Architecture, Best Practices, Design Decisions, Product Management, Stakeholder Engagement

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Technology Organisation is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for a versatile Software Architect specializing in MLOps for a key role that combines architectural design with team leadership within the Visa Tink/VOB organisation. The Work itself: Design and build our machine learning platform to power future products. Work with product managers and stakeholders across the organisation to prioritise high-value functionality. Architect the system with engineers and other architects across the organisation. Drive the implementation of architecture and design decisions across the organisation. Lead the day-to-day work of engineers in the Machine Learning Platform (MLP) team. Own MLP platform products for compliance and security. Contribute hands-on alongside the MLP engineers. Stay current with the fast-changing ML and AI landscape to avoid technology drift. Report directly to the Engineering Director. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications The Skills You Bring: Expertise in Machine Learning Operations (MLOps): Proven experience in architecting and building automated pipelines and tooling required to develop, train, and deploy ML models at scale within a public cloud environment (AWS, GCP). Expertise in the current Machine leaning platform at Tink/VOB: Multiple years of hands-on experience with the specific ML/AI tools, infrastructure, models, and pipelines currently utilized at Tink/VOB. Technical Leadership and Ownership: Has the experience needed to take ownership of our ML system architecture, acting as a guardian for best practices and good design, while leading the team of MLOps engineers Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Responsibilities

Design and build the machine learning platform to power future products while leading the MLP team. Collaborate with product managers and stakeholders to prioritize high-value functionality and drive implementation of architecture decisions.