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Machine Learning Engineer - Sr Consultant - Cloud AI Platform - job 8 of 20

Ready to make a global impact by industrializing AI?

Visa AI as Services (AIaS) 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, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS 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 Services is an ideal place for you!

This role is for a ML Engineer (Sr Consultant level) – Cloud AI Platform, with a strong development background, whose primary objective will be to extend our AI as a Service platform to the Public Cloud while enhancing, optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking for a strong tech leader and cloud architect with a solid background in public cloud and AI/ML production systems.

The ideal candidate will have a strong mix of hands-on technical knowledge and leadership skills, with the ability to inspire and drive the team towards achieving our technical objectives. They should be hands-on, knowledgeable about cloud technologies, business drivers, and emerging AI/ML trends, and experienced with AWS and GCP services. The role demands a proactive leader who can guide the team through uncertainty, educate stakeholders, and influence decisions. The candidate should possess strong interpersonal skills, excellent written and verbal communication, and the ability to manage complex projects and deadlines. A problem-solving mindset and a hands-on approach are key to succeeding in this role.

This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. If you are experienced and passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you.

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.

  • 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.

  • Coaching and mentoring junior team members and evolving team talent pipeline.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

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 - Cloud AI Platform, Visa

Are you ready to drive innovation and make a significant impact in the AI landscape? Join Visa as a Senior Consultant - Machine Learning Engineer for our Cloud AI Platform in Austin! In this dynamic role, you'll be at the forefront of industrializing AI as part of our Visa AI as Services (AIaS) initiative. Your mission? To enhance our AI delivery systems and bring cutting-edge solutions to life! We need a talented Machine Learning Engineer who can seamlessly extend our AI capabilities to the public cloud, while also optimizing our existing codebase. With your strong development background and leadership skills, you’ll collaborate with a diverse team, including Product Managers and Architects, to develop data-driven business solutions that adhere to our architectural vision. It’s not just about coding; it’s about inspiring and guiding your team through challenges and uncertainties. You'll leverage your expertise in AWS and GCP services, and engage with emerging AI/ML trends, to drive projects from inception to delivery. Plus, with a hybrid working model in place, you’ll enjoy the flexibility of remote work while also benefiting from in-office collaboration a few days a week. If you're passionate about cloud technology and AI, and excited about mentoring junior team members, this is the ideal opportunity for you! At Visa, you won't just grow your technical skills—you'll help shape the future of payment and AI technology. We can’t wait to see the changes your leadership will inspire.

Frequently Asked Questions (FAQs) for Machine Learning Engineer - Sr Consultant - Cloud AI Platform Role at Visa
What are the main responsibilities of a Machine Learning Engineer - Sr Consultant at Visa?

As a Machine Learning Engineer - Sr Consultant at Visa, your primary responsibilities will include collaborating with cross-functional teams to deliver AI-driven business solutions, driving end-to-end development for timely and high-quality project completions, and mentoring junior engineers. You will also be involved in risk management, communication with stakeholders, and presenting technical solutions in accessible business terms.

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What qualifications do I need to apply for the Machine Learning Engineer - Sr Consultant position at Visa?

To qualify for the Machine Learning Engineer - Sr Consultant role at Visa, candidates should have a strong background in development, proficiency in cloud technologies like AWS and GCP, and experience with AI/ML production systems. Leadership skills, excellent communication, and hands-on problem-solving abilities are also key to succeeding in this position.

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What technologies should I be familiar with as a Machine Learning Engineer at Visa?

As a Machine Learning Engineer at Visa, familiarity with cloud platforms such as AWS and Google Cloud Platform (GCP) is essential. You should also be well-versed in machine learning frameworks and tools, as well as having a strong understanding of data structures, algorithms, and AI model optimization techniques.

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What can I expect from working with the team at Visa as a Machine Learning Engineer?

Working as a Machine Learning Engineer at Visa means being part of a collaborative environment that values innovation and learning. You will work alongside talented professionals from various fields, engaging in impactful projects that drive AI advancements in the payments industry while also enjoying mentorship opportunities and skills development.

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How does hybrid work impact the role of a Machine Learning Engineer - Sr Consultant at Visa?

The hybrid work model at Visa allows Machine Learning Engineers - Sr Consultants to enjoy flexibility while maintaining productive in-office collaboration. Employees can work remotely for part of the week while also being present in the office 2-3 days a week to engage with the team and participate in brainstorming and project meetings.

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Common Interview Questions for Machine Learning Engineer - Sr Consultant - Cloud AI Platform
Can you describe your experience with machine learning and cloud technologies?

In your response, focus on specific projects you’ve worked on involving AI and cloud platforms such as AWS or GCP. Highlight any successful implementations or challenges you overcame, using metrics to demonstrate your impact and ability to innovate in this space.

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How do you approach mentoring junior team members?

Explain your philosophy on leadership and mentorship. Share examples of how you've successfully guided junior colleagues, perhaps by establishing one-on-one sessions, providing constructive feedback, or fostering a supportive learning environment.

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What is your process for developing AI-driven business solutions?

Outline your typical workflow, such as initial analysis, requirements gathering, prototyping, and testing. Discuss how you ensure quality and efficiency in your projects, and any collaborative tools you use to streamline development.

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How do you manage risks associated with AI/ML projects?

Discuss your experience identifying potential risks in projects and outlining contingency plans. Highlight any frameworks or methodologies you use, such as regular code reviews or iterative testing, to mitigate risks throughout the project lifecycle.

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What emerging AI/ML trends excite you the most?

Talk about current trends in AI/ML that you find particularly interesting, such as advancements in generative AI or ethical considerations in AI applications. Be prepared to relate these trends to Visa's mission and how they can offer competitive advantages.

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Can you discuss a challenging project you’ve worked on?

Provide a detailed example of a project that posed challenges, outlining the problems you faced, your approach to resolving them, and the outcome. Highlight your problem-solving skills and how they contributed to the project's success.

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What role does communication play in your work as a Machine Learning Engineer?

Emphasize the importance of clear and effective communication in facilitating collaboration, sharing project updates, and translating technical concepts for stakeholders. Discuss any strategies you use to ensure everyone is aligned on project goals.

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Have you worked in a hybrid work environment before? How did it influence your productivity?

Share your experiences working in both remote and office settings. Highlight strategies you've implemented to stay productive while working flexibly, and how you maintain connections with your teammates to ensure seamless project execution.

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How do you stay updated with AI/ML developments?

Discuss the various resources you utilize for staying informed, such as industry publications, online courses, webinars, and professional networking. Highlight any certifications or ongoing education you’ve pursued to expand your knowledge in the field.

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What interests you most about working at Visa?

Convey your passion for the payment and AI sectors, citing specific aspects of Visa's mission and values that resonate with you. Explain how this role aligns with your career goals and allows you to contribute to meaningful technology developments.

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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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