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Machine Learning Engineer- Sr. Consultant level - Visa AI as a Service - job 11 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 Consultant level 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 Machine Learning Engineer- Sr. Consultant level - Visa AI as a Service, Visa

Join Visa AI as a Service as a Senior Consultant Machine Learning Engineer in Foster City, where you'll play a pivotal role in shaping the future of AI and payment technologies! This position offers the chance to dive deep into the innovative processes that support our cutting-edge AI solutions. Here, we operationalize AI and decision intelligence to deliver remarkable business value while ensuring privacy and governance in our services. You'll be working with a dynamic Agile Scrum team, focusing on enhancing our codebase and building new capabilities that push the boundaries of what we can achieve with AI. Your passion for coding, problem-solving, and developing operating efficiencies will drive you to fill our product backlog with high-quality and production-ready code. In this role, you will not only be honing your technical skills but also navigating through dynamic requirements and collaborating closely with a cross-functional team of product managers, architects, and software engineers. The environment is fast-paced and requires a proactive approach; you'll need to be flexible and ready to switch gears as project needs evolve. Whether that's designing new functionalities, refactoring existing code, or collecting and acting on feedback, your contributions will directly influence the solutions we provide to our customers. With a blend of remote and in-office work, this hybrid position allows for a balance between collaboration and independent work, all with the goal of delivering exceptional data-driven business solutions. If you're driven, skilled, and excited about making a substantial impact, Visa AI as a Service is the perfect next step in your career!

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

As a Senior Consultant Machine Learning Engineer at Visa AI as a Service, your primary responsibilities include collaborating with project team members to develop and implement new data-driven solutions, ensuring high-quality delivery that aligns with both architectural vision and compliance standards. You will manage the end-to-end development process while also focusing on enhancing the existing code base and development practices.

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

To qualify for the Senior Consultant Machine Learning Engineer role at Visa AI as a Service, candidates should possess robust development experience in AI and web application development. A strong foundation in coding, testing, and debugging is essential. Furthermore, demonstrated technical leadership capacity and a willingness to adapt to a dynamic work environment are critical.

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How does the Senior Consultant Machine Learning Engineer contribute to Visa AI as a Service's AI offerings?

The Senior Consultant Machine Learning Engineer plays an essential role in enhancing Visa AI as a Service's AI offerings by implementing high-quality code and innovative solutions that improve AI model performance, scalability, and interpretability. Your work will help shape the AI functionalities that deliver valuable insights and capabilities to our customers.

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What type of work environment can the Senior Consultant Machine Learning Engineer expect at Visa AI as a Service?

At Visa AI as a Service, the work environment is hybrid, which combines remote work flexibility with in-office collaboration. The role requires working in Agile Scrum teams, providing opportunities to thrive in a dynamic and fast-paced environment while fostering communication and teamwork with colleagues.

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What skills are important for the Senior Consultant Machine Learning Engineer at Visa AI as a Service?

Crucial skills for the Senior Consultant Machine Learning Engineer position at Visa AI as a Service include strong coding abilities, problem-solving proficiency, and expertise in web application development. Effective communication and the capacity to present technical solutions in business terms are also important to ensure alignment with stakeholders.

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Common Interview Questions for Machine Learning Engineer- Sr. Consultant level - Visa AI as a Service
Can you describe your experience with machine learning frameworks?

When answering this question, detail specific frameworks you've worked with, such as TensorFlow or PyTorch, and describe projects where you successfully implemented these technologies. Mention challenges you faced and how you overcame them to demonstrate your practical knowledge.

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How do you approach developing AI solutions in an Agile environment?

Discuss your experience working within Agile frameworks, emphasizing collaboration with team members, iterative development, and how you prioritize tasks. Providing examples from past projects can illustrate your adaptability and understandings of Agile principles.

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What strategies do you use to ensure high-quality code?

Highlight your coding practices such as adhering to coding standards, leveraging version control systems, code reviews, and writing unit tests. Providing examples of how these practices led to successful outcomes in previous roles can strengthen your response.

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How do you handle conflicts within a project team?

Discuss your conflict resolution strategies, such as open communication, seeking to understand different perspectives, and focusing on a common goal. Citing a specific incident where you successfully resolved a conflict will showcase your interpersonal skills.

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Can you give an example of a challenging problem you solved with AI?

Prepare a response that describes a complex problem you encountered, the AI-based solution you implemented, and the results. Clearly outline your methodologies and any impacts this had on the project or company.

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What experience do you have with data preprocessing?

Illustrate your data preprocessing skills by discussing techniques you've used, such as normalization, feature engineering, or dealing with missing data. Providing specific examples from your work can reinforce your expertise.

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How do you stay current with AI trends and technologies?

Mention any industry publications, blogs, or conferences you follow to keep up with the latest in AI. Share specific resources or learning opportunities that have enriched your knowledge and skills in the field.

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What role do you see ethics playing in AI development?

Address this question by discussing the importance of ethical considerations, such as bias reduction and ensuring transparency in machine learning algorithms. Express how you incorporate these principles into your work practices.

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Describe your experience working cross-functionally with stakeholders.

Explain your approach to collaborating with stakeholders from different departments, and provide specific examples where effective communication led to improved project outcomes. Highlight your adaptability in interpreting technical information for non-technical audiences.

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What programming languages are you most comfortable with?

Discuss the programming languages you excel in, particularly those relevant to AI and machine learning, such as Python or R. Explain any relevant projects you've executed using these languages to illustrate your proficiency.

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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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