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Machine Learning Engineer - Sr Consultant - Cloud AI Platform - job 6 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

Are you passionate about harnessing the power of AI to drive innovation? At Visa, we're looking for a Machine Learning Engineer - Sr Consultant for our Cloud AI Platform based in Austin. This isn't just any role; it's an opportunity to make a global impact with Visa AI as Services (AIaS), where we operationalize AI and decision intelligence on a grand scale. As a senior consultant, you'll be at the forefront of extending our AI as a Service platform into the Public Cloud, enhancing our existing codebase, and developing novel solutions for real-world challenges. We're seeking a tech leader with a robust background in public cloud technologies and AI/ML production systems, ideally well-versed in AWS and GCP services. Your leadership and technical skills will inspire and propel our team towards achieving ambitious objectives. You'll collaborate with a diverse team of product managers, architects, and engineers, ensuring that we meet our goals with top-notch quality and compliance. Furthermore, as a hands-on tech aficionado, you’ll have the opportunity to mentor junior team members, shaping the future talent pipeline. This hybrid role provides flexibility while ensuring you stay connected with your colleagues, spending about half your time collaborating in-person, fostering a dynamic team environment. If you thrive in a fast-paced, evolving environment, have a knack for problem-solving, and are eager to explore the latest trends in AI and cloud technology, then Visa's AI as Services is the perfect fit for you. Join us and help deliver the next big leap in AI and payment solutions!

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

As a Machine Learning Engineer - Sr Consultant at Visa, your primary responsibilities include extending the AI as a Service platform to the Public Cloud, enhancing and optimizing existing development procedures, and developing innovative solutions to meet business needs. You'll be involved in every phase of solution development, requiring strong technical capabilities and deep collaboration with various project team members.

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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 position at Visa, candidates should possess extensive experience in AI/ML production systems, particularly within public cloud environments like AWS and GCP. A solid track record of leadership, hands-on technical skills, and excellent interpersonal communication abilities are essential for flourishing in this role.

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What is the work environment like for a Machine Learning Engineer - Sr Consultant at Visa?

The work environment for a Machine Learning Engineer - Sr Consultant at Visa is hybrid, allowing for a blend of remote and in-office collaboration. Employees are expected to work from the office 2-3 set days a week, promoting teamwork while ensuring adaptability and work-life balance, ultimately creating a dynamic and engaging work atmosphere.

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How does the Machine Learning Engineer - Sr Consultant role contribute to the AI initiative at Visa?

The Machine Learning Engineer - Sr Consultant role plays a crucial part in Visa's AI initiative by driving the development and implementation of AI capabilities through the AI as a Service platform. Your work ensures that AI solutions are not only innovative but also meet high standards of quality and compliance, thus contributing significantly to Visa's strategic goals.

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What opportunities for learning and growth are available for the Machine Learning Engineer - Sr Consultant at Visa?

As a Machine Learning Engineer - Sr Consultant at Visa, you'll enjoy abundant opportunities for learning and growth. You'll be at the cutting edge of AI and cloud technologies, with the chance to mentor junior team members and work alongside seasoned professionals. This collaborative environment encourages continuous professional development and the chance to drive impactful projects.

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Common Interview Questions for Machine Learning Engineer - Sr Consultant - Cloud AI Platform
Can you explain your experience with cloud technologies relevant to the Machine Learning Engineer role at Visa?

When answering this question, highlight specific cloud technologies such as AWS and GCP you've worked with. Discuss how you’ve implemented AI solutions in these environments, touched on the challenges faced, and the outcomes achieved. Emphasize your hands-on experience and how it aligns with Visa’s goals.

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What strategies have you used to optimize machine learning models?

To answer this, detail your approach, which might include techniques like feature selection, hyperparameter tuning, and use of different algorithms. Providing examples from past projects where optimizations led to substantial improvements in model performance will strengthen your response.

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How do you stay updated with the latest trends in AI and machine learning?

It's important to convey your commitment to lifelong learning in AI and machine learning. Mention specific publications, online courses, or conferences you follow or attend. Discuss how you've applied new knowledge to your work, demonstrating your proactive learning attitude.

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Describe your approach to collaborating with cross-functional teams.

Share your experience collaborating with product managers, architects, and other engineers, highlighting the importance of clear communication and shared goals. Provide examples of successful projects where your collaboration directly contributed to the project’s success.

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In your opinion, what are the key challenges facing AI/ML in public cloud environments?

This question allows you to display your industry knowledge. Discuss challenges such as data privacy, model interpretability, and cloud resource management. Provide insights into how you might address these challenges within the context of Visa's operations.

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Can you discuss a complex project you managed? What were the key takeaways?

Use this opportunity to highlight a significant project where you took a leadership role. Describe the project's objectives, your management strategies, and the results achieved. Reflect on what you learned and how you can apply those insights in the role at Visa.

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How do you handle tight deadlines while ensuring high-quality solutions?

Stress the importance of organization and prioritization. Share specific techniques you use, such as agile methodologies or time management strategies, reinforced with examples from projects where you successfully met tight deadlines without compromising quality.

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What tools or methodologies do you prefer for AI/ML development?

Be specific about the tools and methodologies you’re familiar with, such as TensorFlow, PyTorch, or Scikit-learn, and why you prefer them. Discuss how these tools have enabled you to enhance productivity or improve model performance in past projects.

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What experience do you have mentoring junior engineers?

Provide examples of mentoring you have done in previous roles, detailing your approach to coaching, the success stories of the mentees, and how you fostered a collaborative learning environment.

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How would you present technical AI solutions to non-technical stakeholders?

Discuss techniques for translating complex technical concepts into relatable business terms. Mention the importance of storytelling and visualization to engage stakeholders, ensuring they understand the value of the AI solutions being proposed.

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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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