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Senior Machine Learning Engineer-Visa AI as a Service - job 8 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

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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

Join Visa AI as a Service in Foster City as a Senior Machine Learning Engineer and dive into the thrilling world of AI-driven payment solutions! At Visa, we are committed to delivering cutting-edge AI and decision intelligence, ensuring our services provide ongoing business value. In your role, you'll contribute to our composable AI capabilities, privacy-focused computation, and cloud-native platforms. You'll be right in the heart of innovation, developing new features and enhancing existing solutions while working with Agile Scrum teams. This is a fast-paced, collaborative environment where your expertise as a passionate developer will shine. You’ll tackle a wide range of tasks, from filling product backlogs and delivering production-ready code to collaborating with product managers and architects. Your strong technical leadership and problem-solving skills will be essential. Whether you’re designing new functionality or refactoring existing features, your focus on efficiency and customer satisfaction will guide your efforts. You’ll also have the opportunity to manage risks and present technical solutions, making sure our capabilities align with business objectives. If you're ready to take your skills to the next level and make a real difference in the AI and payment space, Visa AI as a Service is the perfect place for you to grow and excel in 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, you will be responsible for end-to-end development efforts, ensuring high-quality solutions conform to requirements. Your tasks will include collaborating with project members, driving development initiatives, and actively participating in Agile Scrum teams. You will also manage risks, investigate new requirements, and refactor existing functionalities while presenting technical solutions in business terms.

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What qualifications are required for the Senior Machine Learning Engineer position at Visa AI as a Service?

Candidates applying for the Senior Machine Learning Engineer position at Visa AI as a Service should possess solid technical development experience, particularly in web applications and services. A background in AI, machine learning, and related technologies is essential, along with strong coding, testing, and debugging skills. Effective communication and problem-solving abilities are also vital for success in this role.

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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 dynamic and collaborative. You’ll work closely with Agile Scrum teams in a hybrid setup, allowing for both in-office and remote work. This agile approach fosters innovation, encourages knowledge sharing, and provides opportunities for professional growth while contributing to exciting AI-driven projects.

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How does Visa AI as a Service optimize the performance and reliability of its AI models?

Visa AI as a Service employs strong AI governance, privacy-enhancing computation, and cloud-native platforms to optimize the performance, scalability, and reliability of its AI models. By automating updates to data, models, and applications, the team ensures that the solutions provided remain efficient, effective, and aligned with user needs and business objectives.

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What opportunities for growth does the Senior Machine Learning Engineer role at Visa AI as a Service provide?

The Senior Machine Learning Engineer role at Visa AI as a Service provides numerous opportunities for career advancement and personal growth. You'll engage in complex problem-solving, develop innovative solutions, and work across various aspects of AI and payments. The collaborative environment allows you to learn from other experienced professionals while leading important projects that impact the organization and its customers.

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Common Interview Questions for Senior Machine Learning Engineer-Visa AI as a Service
Can you describe your experience in developing machine learning models?

When answering this question, highlight specific projects where you developed machine learning models. Discuss the technologies you used, challenges faced, and how you ensured model performance and accuracy.

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How do you handle managing risks in software projects?

Discuss your approach to risk management by sharing examples of past experiences. Describe how you identified, documented, and tracked risks, as well as the strategies you implemented to mitigate them effectively.

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What coding languages are you most comfortable with for developing AI applications?

Be specific about your proficiency with coding languages relevant to AI, such as Python or R. Explain how you’ve utilized these languages in previous projects and their importance in machine learning tasks.

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How do you ensure your solutions align with business objectives?

Explain your process for understanding business objectives when developing solutions. Talk about collaboration with product managers and stakeholders, as well as maintaining ongoing communication to align efforts.

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Can you describe a time when you refactored existing code for better performance?

Share a specific example where you refactored code to improve performance. Discuss the steps you took, the impact of your changes, and the lessons learned from the process.

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How do you stay updated on the latest trends in AI and machine learning?

Mention specific resources, such as podcasts, blogs, or online courses that you follow. Discuss attending industry conferences, webinars, and participating in relevant communities to continually enhance your knowledge.

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How do you foster collaboration within Agile teams?

Highlight your experience working in Agile environments. Discuss practices you encourage, such as daily stand-ups, sprint retrospectives, and open communication to foster collaboration among team members.

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What steps do you take to validate and test your models?

Explain your validation and testing methodologies. Discuss techniques like cross-validation, A/B testing, and how you analyze results to ensure accuracy and robustness of your models.

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What is your approach to presenting technical solutions to non-technical stakeholders?

Talk about how you simplify technical concepts into business terms, ensuring stakeholders fully grasp the proposed solutions. Mention the value of visual aids or demonstrations to aid understanding.

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Can you give an example of a challenging project you've worked on and how you handled it?

Share a specific challenging project, outlining the complexities involved. Discuss your problem-solving approach and any innovative solutions you implemented to successfully overcome those challenges.

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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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