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Machine Learning Engineer - Sr Consultant - Cloud AI Platform - job 11 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

$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 - Cloud AI Platform, Visa

If you're looking to make a global impact in the world of AI, then the role of a Machine Learning Engineer - Sr Consultant at Visa AI as Services in Austin is just for you! At Visa, our AI as Services (AIaS) is designed to operationalize AI and decision intelligence, ensuring long-lasting business value. Imagine being part of a team that harnesses the power of composable AI capabilities and cutting-edge cloud platforms! In this role, you'll be extending our AI as a Service offering to the Public Cloud while optimizing our existing codebase. Here, we’re looking for a tech-savvy leader with a strong background in cloud architecture and AI/ML production systems, particularly with AWS and GCP services. As a hands-on leader, you’ll inspire the team, navigate challenges, and educate stakeholders on our innovative solutions. Your mission is to deliver exceptional, data-driven business solutions while collaborating closely with a talented group of engineers and project managers. This hybrid position means you have the flexibility to work remotely some days and be in-office on others, where you can engage with your team and contribute to our dynamic environment. So, if you're ready to dive into a role that challenges you intellectually and gives you a chance to make meaningful contributions to our AI initiatives, we want to hear from you!

Frequently Asked Questions (FAQs) for Machine Learning Engineer - Sr Consultant - Cloud AI Platform Role at Visa
What does a Machine Learning Engineer - Sr Consultant at Visa AI as Services do?

As a Machine Learning Engineer - Sr Consultant at Visa AI as Services, you'll focus on extending our AI as a Service platform to the Public Cloud. This involves optimizing our codebase and developing new solutions. You'll collaborate with various project team members, driving the end-to-end development process to deliver high-quality, innovative solutions on time.

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What qualifications are needed for the Machine Learning Engineer - Sr Consultant position at Visa?

To qualify for the Machine Learning Engineer - Sr Consultant role at Visa AI as Services, candidates should have a strong development background, particularly in cloud technologies like AWS and GCP. Experience in AI/ML production systems is essential, along with leadership skills, strong communication abilities, and a proactive problem-solving mindset.

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How does the hybrid work model work for the Machine Learning Engineer - Sr Consultant role at Visa?

In the Machine Learning Engineer - Sr Consultant position at Visa AI as Services, you'll have a hybrid work model where you're expected to work in the office 2-3 days a week, based on leadership guidance and business needs. This allows you to collaborate in-person while still enjoying the flexibility of remote work.

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What can I expect in terms of career growth as a Machine Learning Engineer at Visa?

At Visa AI as Services, a Machine Learning Engineer - Sr Consultant can expect significant career growth opportunities. You'll be part of a team that emphasizes learning, with chances to mentor junior members and evolve the team talent pipeline while working on cutting-edge AI technologies.

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What are the key responsibilities of a Machine Learning Engineer - Sr Consultant at Visa?

Key responsibilities for the Machine Learning Engineer - Sr Consultant at Visa include driving development efforts from end-to-end, collaborating with project teams to ensure quality solutions, managing risks, presenting technical solutions in business terms, and mentoring junior team members.

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

When answering this question, highlight specific projects where you've utilized AWS or GCP to build or deploy machine learning models. Emphasize your understanding of how cloud platforms can enhance model performance and scalability.

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What strategies do you use to optimize machine learning models?

Discuss techniques such as hyperparameter tuning, feature selection, and using ensemble methods. Give examples of how you’ve applied these strategies in previous projects to improve model accuracy and performance metrics.

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How do you approach collaboration with cross-functional teams?

Share your experience working with product managers, architects, and other developers. Highlight the importance of clear communication and how you ensure everyone is aligned with project goals and timelines.

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What challenges have you faced in machine learning projects and how did you overcome them?

Discuss specific challenges such as data quality issues, model deployment difficulties, or meeting project deadlines. Explain your problem-solving process and the steps you took to navigate these challenges successfully.

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What is your experience with mentoring junior engineers?

If you've had the chance to mentor others, describe your approach to providing guidance and support. Highlight any formal mentorship programs you've been a part of and how you helped cultivate talent within your team.

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How do you keep up with emerging trends in AI and machine learning?

Talk about your commitment to continuous learning, such as taking online courses, attending workshops, or reading relevant research papers and industry publications. Mention any communities you’re a part of that keep you informed about the latest trends.

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Can you provide an example of a successful machine learning project you led?

Outline a specific project, detailing its goals, your leadership role, the technologies utilized, and the outcome. Highlight metrics that demonstrate the project's success, such as model accuracy or business impact.

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How do you approach risk management in your projects?

Discuss your methodology for identifying, documenting, and tracking risks throughout the project lifecycle. Emphasize the importance of proactive communication and collaboration with stakeholders to mitigate risks effectively.

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

Explain how you translate complex technical concepts into clear, relatable business terms. Discuss the techniques you use to ensure your audience grasps the implications of the technical solutions proposed.

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What do you find most exciting about the AI and machine learning field?

Share your passion for the potential of AI to drive significant change across industries. Talk about specific innovations or trends that excite you and how they relate to the work you hope to do at Visa AI as Services.

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Full-time, hybrid
DATE POSTED
April 3, 2025

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