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Machine Learning Engineer- Sr. Consultant level - Visa AI as a Service - job 18 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

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

If you're looking to dive into the future of finance with an exciting position as a Machine Learning Engineer - Senior Consultant at Visa AI as a Service, then we've got just the opportunity for you! In this role, you'll be at the forefront of delivering cutting-edge AI and decision intelligence solutions that drive tangible business outcomes. Visa AI as a Service is specially crafted to harness composable AI capabilities while ensuring robust data privacy and operational excellence. As a senior consultant, your expertise in development will be crucial as you focus on creating innovative capabilities and enhancing our existing code base. You'll be an essential member of an Agile Scrum team, working collaboratively with product managers, architects, and analysts. Your day-to-day tasks will include hands-on activities like designing, developing, and testing new functionalities, all while keeping an eye on performance and maintainability. We are looking for a self-motivated individual who is not just a coder but a true problem solver ready to take on a variety of challenges. If you enjoy working in a state-of-the-art environment—where flexibility is key, and you can expect to switch tasks based on team needs—this could be the perfect match. You will also play a pivotal role in communicating technical solutions and ensuring the highest quality standards are met. With a hybrid work setup, expect some days in the office, which makes collaboration even more exciting! So, if you’re ready to make a difference in the payment and AI space, we can’t wait to meet you.

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 a Machine Learning Engineer - Senior Consultant at Visa AI as a Service?

As a Machine Learning Engineer - Senior Consultant at Visa AI as a Service, your main responsibilities will involve collaborating with Agile teams to develop and implement AI-driven business solutions. You will drive end-to-end development efforts, ensuring timely delivery while adhering to quality standards. Additionally, you’ll work on both new functionalities and maintain existing code, all while engaging in hands-on design, development, and testing processes.

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

To qualify for the Senior Consultant position at Visa AI as a Service, candidates should have a strong background in software development, particularly in web applications and services. Proficiency in machine learning algorithms, AI technologies, and hands-on coding skills is essential. A collaborative spirit and the ability to communicate technical concepts in business terms are also crucial for this role.

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Can you explain the work environment for a Machine Learning Engineer - Senior Consultant at Visa AI as a Service?

The work environment for a Machine Learning Engineer - Senior Consultant at Visa AI as a Service is dynamic and collaborative, involving Agile Scrum teams. You'll experience a hybrid setup that allows flexibility in how you work. This means you can enjoy both the advantages of remote work and the energizing atmosphere of in-person collaboration at the office.

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What skills will a candidate need to excel as a Machine Learning Engineer - Senior Consultant at Visa AI as a Service?

To excel as a Machine Learning Engineer - Senior Consultant at Visa AI as a Service, candidates need to have exceptional problem-solving abilities, strong coding and debugging skills, and proficiency in AI-related technologies. Effective communication is also vital, as you will be presenting complex technical ideas in simpler business language and collaborating with various stakeholders.

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What is the significance of the AI governance model at Visa AI as a Service for the Senior Consultant role?

The AI governance model at Visa AI as a Service is significant for the Senior Consultant role as it ensures that all AI models and services adhere to established standards of reliability, interpretability, and performance. Engaging with this governance model will be part of your responsibilities, helping you drive the development of safe, effective, and compliant AI-driven solutions.

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Common Interview Questions for Machine Learning Engineer- Sr. Consultant level - Visa AI as a Service
How do you approach problem-solving as a Machine Learning Engineer?

When answering this question, outline your systematic approach: Identify the problem's root cause, explore various data and AI model solutions, and then implement and test changes iteratively to gauge effectiveness. Highlight real examples from your past experience to reinforce your approach.

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Can you describe your experience working within Agile Scrum teams?

In your response, emphasize your collaborative approach in Agile settings, how you adapt to changing priorities, and provide examples of successful projects where you've contributed to sprint planning, daily standups, and retrospectives.

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What are some challenges you've faced in past machine learning projects, and how did you overcome them?

Discuss specific challenges, such as data quality issues or model performance, and illustrate your critical thinking process. Share how you utilized techniques like cross-validation or revising training datasets to improve outcomes.

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How do you ensure your code is maintainable and scalable?

Talk through your coding practices, such as following design patterns, writing modular code, and implementing clear documentation. Offer specific examples from prior roles where these practices led to successful collaborations or project longevity.

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What machine learning algorithms do you find most effective for real-time data processing?

Discuss algorithms such as decision trees, random forests, or neural networks and explain their use cases. Reinforce your answer by mentioning projects where you effectively utilized these algorithms in real-time scenarios.

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Explain how you communicate complex technical concepts to non-technical stakeholders.

Illustrate your method of breaking down jargon into relatable terms. Focus on your experience in crafting presentations or reports that demystify complex topics and ensure buy-in from stakeholders, emphasizing clarity and conciseness.

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What tools and technologies are you proficient in as a Machine Learning Engineer?

Highlight your hands-on experience with essential tools like TensorFlow, Scikit-learn, or Keras, as well as programming languages such as Python and R. Mention how you've effectively used these tools in your past projects.

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Describe a successful project you have led from inception to delivery.

Provide a structured response detailing your role, the team's collaborative effort, the challenges faced, and the final outcomes. Use quantifiable results, such as performance improvements or user engagement metrics, to highlight success.

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How do you stay current with trends in machine learning and AI?

Discuss how you engage with the tech community, whether through conferences, webinars, research articles, or even online courses. Mention any specific trends you follow and how they've influenced your work or strategies.

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What does effective AI governance look like to you?

Share your views on the importance of ethical AI, data privacy, and ongoing monitoring of AI systems. Discuss frameworks or protocols you believe are effective and how you would advocate for their implementation in your role.

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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 2, 2025

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