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Machine Learning Engineer - Sr Consultant - Cloud AI Platform - job 5 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

If you're ready to make a global impact in the realm of artificial intelligence, the position of Machine Learning Engineer - Sr Consultant for Visa's Cloud AI Platform in Austin is your opportunity! At Visa AI as Services (AIaS), we focus on operationalizing AI and decision intelligence to drive sustainable business results. Our platform, equipped with cutting-edge composable AI capabilities and cloud-native architectures, transforms how data, models, and applications are utilized for both predictive and generative AI. In this role, you’ll be extending our AIaS offerings to the public cloud while optimizing our existing solutions. We're on the lookout for a tech leader and cloud architect who not only possesses strong development skills but is also adept at guiding a talented team towards success. With your hands-on experience in AWS and GCP services and keen insights into AI/ML trends, you will help enhance our platform's performance and reliability. This role demands excellent communication skills so you can effectively discuss complex technical concepts with both technical and non-technical audiences. You’ll also have the chance to mentor junior team members and help evolve our talent pipeline. If you're passionate about cloud technology and eager to contribute to exciting advancements in the payment and AI sector, we'd love to hear from you. Join us at Visa to be right in the middle of the action, where learning and career growth opportunities abound!

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 main responsibilities will include extending our AI as a Service platform to the public cloud, optimizing existing codebases, and developing new AI-driven solutions. You will collaborate with cross-functional teams, manage the full solution development lifecycle, and ensure timely delivery of high-quality projects that respect architectural visions.

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

To qualify for the Machine Learning Engineer - Sr Consultant position at Visa, you need a solid background in software development, experience with public cloud platforms like AWS and GCP, and a deep understanding of AI/ML production systems. Additionally, strong leadership skills, excellent communication capabilities, and a knack for problem-solving are essential.

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What skills will help me succeed as a Machine Learning Engineer - Sr Consultant at Visa?

Success as a Machine Learning Engineer - Sr Consultant at Visa will hinge on your technical skills in AI and cloud technologies, as well as your ability to lead and inspire a team. Familiarity with the latest AI trends, effective communication, and project management abilities will also empower you to excel in this role.

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What type of work environment can I expect as a Machine Learning Engineer - Sr Consultant at Visa?

The Machine Learning Engineer - Sr Consultant position at Visa offers a hybrid work environment. Employees will spend 2-3 days a week in the office in Austin, allowing for collaboration and connection with team members, while also enjoying the flexibility of remote work based on business needs.

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How does Visa support growth and learning for Machine Learning Engineers?

At Visa, the Machine Learning Engineer - Sr Consultant will find abundant opportunities for professional growth and learning. You will have access to mentoring programs, the chance to coach junior team members, and the opportunity to work on innovative projects that push the envelope in AI development.

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Common Interview Questions for Machine Learning Engineer - Sr Consultant - Cloud AI Platform
Can you describe your experience with cloud platforms like AWS or GCP?

In response to this question, provide concrete examples of your work with cloud platforms. Highlight specific projects where you've leveraged AWS or GCP services to solve problems or improve efficiencies, showcasing a strong understanding of cloud architecture.

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How do you approach optimizing ML models for production?

Discuss your process for identifying performance bottlenecks in ML models and the strategies you implement for optimization. Mention techniques like hyperparameter tuning, model pruning, or using more efficient algorithms to ensure scalable performance.

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What do you view as the most significant trends in AI/ML right now?

Stay informed about the latest trends in AI/ML, such as advancements in natural language processing, ethical AI considerations, or federated learning. Share your insights, and discuss how these trends might influence Visa's AI aspirations.

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How do you handle project deadlines and manage team expectations?

Explain your methods for prioritizing tasks, communicating timelines, and addressing potential risks. Discuss how you keep stakeholders informed and maintain transparency during project execution to manage expectations effectively.

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Can you give an example of a challenge you've faced in your previous projects?

Provide a specific example of a challenging situation, explaining the context, your approach to solving it, and the positive result that followed. This showcases your problem-solving abilities and resilience.

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How do you ensure that your AI models are interpretable?

Discuss the importance of model interpretability and the techniques you apply, such as SHAP values or LIME, to help stakeholders understand the decision-making processes of your models.

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Describe your experience in mentoring junior team members.

Share specific instances where you've played a mentorship role, discussing how you guided junior colleagues through projects, helped them develop their skills, and fostered a collaborative environment for learning.

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What strategies do you use to stay current with advancements in AI and cloud technologies?

Talk about the resources you utilize—like online courses, blogs, or conferences—to stay up-to-date and continuously improve your knowledge in AI/ML and related cloud technologies.

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How do you communicate technical information to non-technical stakeholders?

Explain your approach to simplifying complex concepts. Emphasize the importance of using clear language, analogies, and visuals to make technical details accessible and relatable to non-technical audiences.

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What role do you see AI playing in shaping the future of finance?

Discuss your perspective on how AI can revolutionize the finance sector, touching on areas such as fraud detection, customer service enhancements, and predictive analytics. Show your understanding of both the challenges and opportunities AI presents.

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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 4, 2025

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