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Machine Learning Engineer - Sr Consultant - Cloud AI Platform - job 17 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 make a meaningful global impact through artificial intelligence? Look no further than the position of Machine Learning Engineer - Sr Consultant - Cloud AI Platform at Visa in Austin. In this exciting role, you'll be part of Visa AI as Services (AIaS), where we operationalize AI and decision intelligence to drive business values. With a foundation in composable AI capabilities and cloud-native platforms, you will have the opportunity to extend our AI as Service offering to public cloud environments, enhancing existing codebases while driving innovative solutions. This position calls for a tech leader and cloud architect who is not only skilled in AWS and GCP services but also possesses strong leadership capabilities. You will collaborate with a talented group of Product Managers, Architects, and Software Engineers to ensure timely and quality development of data-driven solutions. If you thrive in environments where you can tackle complex projects, mentor junior team members, and stay ahead of emerging AI/ML trends, this is the perfect role for you. At Visa, you will enjoy a culture that fosters learning and personal growth, all while playing a crucial role in delivering groundbreaking innovations in AI and payments. If you’re passionate about cloud technologies and eager to make a significant impact in this vibrant field, we can't wait to hear from you!

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

As a Machine Learning Engineer - Sr Consultant - Cloud AI Platform at Visa, your primary responsibilities will include collaborating with various project team members to develop and implement data-driven business solutions. You'll be driving end-to-end development efforts to ensure the timely delivery of high-quality solutions that align with architectural visions. Additionally, you'll coach and mentor junior team members, manage complex projects, and communicate technical solutions in a business context.

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

Candidates for the Machine Learning Engineer - Sr Consultant - Cloud AI Platform position at Visa should have a solid development background in AI and machine learning, along with hands-on experience in cloud technologies, particularly AWS and GCP services. Strong interpersonal skills, excellent communication abilities, and a proactive leadership style are also essential to effectively guide the team and manage complex projects.

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Is the Machine Learning Engineer - Sr Consultant - Cloud AI Platform role at Visa a remote position?

The Machine Learning Engineer - Sr Consultant - Cloud AI Platform role at Visa is a hybrid position. This means that employees can alternate their work between remote and onsite, typically working from the office 2-3 days each week, based on business needs. This approach fosters collaboration while allowing for flexibility.

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What opportunities for growth are available for a Machine Learning Engineer - Sr Consultant - Cloud AI Platform at Visa?

Visa offers numerous opportunities for learning and growth for the Machine Learning Engineer - Sr Consultant - Cloud AI Platform position. You'll engage with cutting-edge AI technologies, collaborate with experienced professionals, and receive mentorship to develop your skills further. As you contribute to pioneering AI solutions, you’ll also have the chance to enhance your leadership abilities.

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What soft skills are important for a Machine Learning Engineer - Sr Consultant - Cloud AI Platform at Visa?

For the Machine Learning Engineer - Sr Consultant - Cloud AI Platform position at Visa, important soft skills include strong interpersonal communication, the ability to manage complex projects, coaching, and mentoring capabilities, as well as a problem-solving mindset. Being able to present technical concepts in business terms is also crucial for effectively engaging with stakeholders.

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

When answering this question, detail your hands-on experience with AI/ML technologies, highlighting specific projects you've worked on, any algorithms or models you've implemented, and how you’ve applied them to solve business problems.

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What is your experience with cloud technologies, particularly AWS and GCP?

In your response, emphasize your familiarity with cloud architecture and the specific services you've used on AWS and GCP. Discuss how you applied these technologies in previous projects, and any challenges you overcame in cloud deployment.

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How do you approach mentoring junior team members?

Focus on your mentoring philosophy in your response. Talk about your experiences while guiding less experienced colleagues, how you assess their skills, and the specific strategies you use to promote their growth and development.

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Can you give an example of a complex project you managed and how you ensured its success?

Provide a specific example from your past work where you led a project, outlining your planning, risk management strategies, and the communication methods you used to keep stakeholders updated throughout the project lifecycle.

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What strategies do you use to stay updated with emerging AI/ML trends?

Discuss various resources you use to keep current with industry trends, such as attending conferences, reading research papers, following influential tech blogs, or participating in relevant online communities.

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How do you ensure quality and compliance in machine learning solutions?

Talk about your experience with quality assurance processes in development, including testing strategies, code reviews, and compliance with standards, showcasing the importance of these practices in delivering effective AI solutions.

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Describe a time you faced uncertainty in a project. How did you navigate it?

Share a situation where you encountered challenges or uncertainty and detail the steps you took to assess the problem, adapt your approach, and lead your team through the difficulties.

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What is your process for transforming technical information into business terms?

Explain your method for simplifying complex technical concepts for non-tech stakeholders. Provide an example of a presentation or discussion where you effectively communicated a technical solution to a business audience.

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How do you prioritize tasks in a fast-paced environment?

In your response, emphasize your ability to assess project requirements, identify critical tasks that align with objectives, and manage multiple priorities effectively, using tools or techniques you find helpful.

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Why do you want to work as a Machine Learning Engineer - Sr Consultant - Cloud AI Platform at Visa?

Express your passion for AI and cloud technologies in your response. Highlight what specifically draws you to Visa's AI as Services and how your career goals align with the company's vision for innovation.

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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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