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Senior Machine Learning Engineer-Visa AI as a Service - job 7 of 20

About the Role:

Visa AI as a Service (VAIaS) 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, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS 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 a Service is an ideal place for you!

This position is for a Senior Engineer with solid development experience who will focus on creating new capabilities for Visa AI as a Service while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start.  You must be dedicated to filling product backlog and delivering production-ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design, documentation, development and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

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 including:

  • 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

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Machine Learning Engineer-Visa AI as a Service, Visa

Are you ready to make a significant impact in the world of AI and payments? Visa AI as a Service is on the lookout for a Senior Machine Learning Engineer to join our dynamic team in Foster City! This is not just any job; it's an opportunity to operationalize cutting-edge AI and decision intelligence solutions that drive real business value. In this role, you'll leverage your solid development experience to enhance our codebase and refine our development processes. As part of Agile Scrum teams, you'll collaborate closely with project managers, architects, and fellow engineers to deliver high-quality, data-driven solutions. Your dexterous problem-solving skills and a passion for coding, testing, and debugging will help you thrive in our fast-paced environment. Expect to take initiative in transforming existing functionalities and investigating new requirements while ensuring that we meet performance standards. We thrive on innovation, and your adaptability will be key in switching tasks based on team needs. With a focus on design, documentation, and testing of new functionalities, you're empowered to drive our projects end-to-end, ensuring solutions align with our architectural vision. Plus, in this hybrid position, you'll enjoy flexible in-office days, making work-life balance a priority. If you are self-organized and eager to collaborate with talented minds while pushing the boundaries of technology, Visa AI as a Service is the perfect place for you to grow your career!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer-Visa AI as a Service Role at Visa
What are the main responsibilities of a Senior Machine Learning Engineer at Visa AI as a Service?

As a Senior Machine Learning Engineer at Visa AI as a Service, your main responsibilities will include collaborating with cross-functional teams, driving end-to-end development efforts, and ensuring the delivery of high-quality data-driven business solutions. You'll be involved in all solution development phases, focusing on creating new capabilities, maturing our code base, and optimizing performance and functionality.

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What qualifications are necessary for a Senior Machine Learning Engineer at Visa AI as a Service?

To qualify for the Senior Machine Learning Engineer position at Visa AI as a Service, you should have solid development experience, particularly in web application and service development. A strong understanding of AI methodologies, coding, testing, and debugging skills is essential. Additionally, experience working in Agile teams and excellent communication skills for presenting technical solutions are key.

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What programming skills are essential for a Senior Machine Learning Engineer at Visa AI as a Service?

A Senior Machine Learning Engineer at Visa AI as a Service should possess strong programming skills in languages commonly used in machine learning such as Python, R, or Java. Familiarity with machine learning libraries and frameworks, alongside web development technologies, will also be beneficial. Your coding expertise will be vital in creating effective AI solutions.

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What is the work environment like for a Senior Machine Learning Engineer at Visa AI as a Service?

The work environment for a Senior Machine Learning Engineer at Visa AI as a Service is collaborative and fast-paced. You will work in Agile Scrum teams, collaborating with various stakeholders including product managers and software engineers. The hybrid model allows flexibility in your schedule, enabling a harmonious work-life balance while still fostering team collaboration.

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How does Visa AI as a Service support the professional development of a Senior Machine Learning Engineer?

Visa AI as a Service actively supports the professional development of a Senior Machine Learning Engineer through exposure to innovative projects, mentorship from senior staff, and opportunities to take on leadership roles within Agile teams. You'll have the chance to work with the latest technologies and methodologies in AI, enabling personal and career growth.

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Common Interview Questions for Senior Machine Learning Engineer-Visa AI as a Service
What experience do you have with machine learning algorithms?

When answering this question, share specific machine learning algorithms you've worked with and detail how you've applied them in previous projects. Highlight any notable success or results achieved through these algorithms to demonstrate your proficiency.

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Can you describe a challenging technical problem you've solved?

For this question, think of a specific example that highlights your problem-solving skills as a Senior Machine Learning Engineer. Discuss the context, the steps you took to address the problem, and the ultimate outcome, showcasing your analytical skills and ability to overcome challenges.

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How do you ensure the quality of your code?

Discuss your coding practices to ensure quality, such as code reviews, writing unit tests, and following best practices. Explain how you collaborate with team members to maintain high standards for code quality in your projects.

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What methodologies do you follow in Agile development?

Share your understanding and experience regarding Agile methodologies. Mention specific frameworks you've used, such as Scrum or Kanban, and describe how you embraced Agile principles in your previous projects to facilitate effective teamwork and timely delivery.

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How do you approach collaborating with non-technical stakeholders?

Explain your strategy for communicating complex technical concepts clearly to non-technical stakeholders. Highlight the importance of understanding business requirements and how you translate technical information into business terms.

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What is your experience with cloud technologies in relation to AI?

Detail your experience working with cloud platforms and how you’ve leveraged them for deploying machine learning models or applications. Mention any specific cloud services you've used, and how these tools enhanced project scalability or performance.

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How do you manage conflicting priorities in a project?

Discuss your approach to prioritization and organization when managing conflicting tasks. Emphasize your ability to adapt and communicate effectively with team members to ensure that project milestones are met.

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What role do you think governance plays in AI development?

Share your insights on the significance of governance in AI development. Discuss key aspects such as compliance, ethical considerations, and risk management, and how you address these factors in your engineering practices.

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Can you provide an example of a successful AI model you've developed?

When responding, provide a clear example of an AI model, outlining the problem it solved, the data used, and the methods implemented. Highlight the impact of this model on the business or project outcomes, showcasing your technical expertise.

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What are your strategies for continuous learning in the field of AI?

Talk about how you stay updated with the rapidly evolving AI landscape. Mention resources such as online courses, conferences, research papers, or community involvement that you leverage to enhance your knowledge and skills as a Senior Machine Learning Engineer.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 3, 2025

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