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Machine Learning Engineer - Senior Consultant Level- AI Platform - job 1 of 21

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) with a strong development background who will contribute to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission. In this position, you are first a passionate and hard-working machine learning specialist and system architect that can work in a multifaceted environment as a member of Agile Scrum teams.

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.)
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$120000K
$150000K

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What You Should Know About Machine Learning Engineer - Senior Consultant Level- AI Platform, Visa

Are you a seasoned Machine Learning Engineer with a flair for transforming AI concepts into robust solutions? Look no further than Visa's AI as Services (AIaS) in Austin! This Senior Consultant role is tailored for talented individuals who are eager to industrialize AI while enjoying a collaborative, dynamic environment. At Visa, we’re not just about technology; we’re about making a significant global impact through cutting-edge AI and decision intelligence. Imagine being part of an innovative team that combines advanced AI capabilities with privacy-enhancing computation and cloud-native platforms to create applications that solve real-world challenges. As a vital member of our Agile Scrum teams, you'll not only contribute to the execution of our AI Platform’s strategy but also take the lead on development efforts, ensuring high-quality solutions are delivered on time. Your responsibilities will include working closely with cross-functional teams, coaching junior members, and helping us drive the future of AI. It’s a role that promises immense learning opportunities and the chance to innovate in the exciting payment and AI sectors. If you possess a strong development background in machine learning and are ready to make a big impact in the world of AI, we would love to have you at Visa AI as Services!

Frequently Asked Questions (FAQs) for Machine Learning Engineer - Senior Consultant Level- AI Platform Role at Visa
What are the responsibilities of a Senior Machine Learning Engineer at Visa AI as Services?

As a Senior Machine Learning Engineer at Visa AI as Services, you'll be responsible for collaborating with a diverse team, driving end-to-end development of high-quality solutions, and managing risks throughout the project lifecycle. You will also mentor junior team members and ensure that all deliverables align with architectural visions and business standards.

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What qualifications do I need to become a Senior Machine Learning Engineer with Visa?

To be a successful Senior Machine Learning Engineer at Visa, candidates should have a robust background in machine learning, cloud technologies, and system architecture. Typically, a strong development background and experience in Agile methodologies are essential, along with the ability to effectively communicate technical concepts to non-technical stakeholders.

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What does the work environment look like for the Senior Machine Learning Engineer at Visa AI as Services?

The Senior Machine Learning Engineer position at Visa AI as Services offers a hybrid work environment that blends remote work with in-office collaboration. Employees are expected to be in the office 2-3 days a week as determined by site leadership, providing a balanced approach to flexibility and teamwork.

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What makes the Senior Machine Learning Engineer role at Visa unique?

At Visa, the Senior Machine Learning Engineer role is unique due to its focus on industrializing AI in a global context. The position allows you to work with cutting-edge technologies and make meaningful contributions to the financial technology landscape, making it a remarkable opportunity for impactful work.

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How does Visa AI as Services support career growth for a Senior Machine Learning Engineer?

Visa AI as Services is committed to fostering career growth through ample learning opportunities, mentorship programs, and involvement in innovative projects. As a Senior Machine Learning Engineer, you'll have the chance to expand your skills, contribute to strategic initiatives, and shape the future of our AI capabilities.

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Common Interview Questions for Machine Learning Engineer - Senior Consultant Level- AI Platform
Can you explain your experience with machine learning frameworks?

When answering this question, focus on your proficiency with various machine learning frameworks like TensorFlow or PyTorch. Highlight specific projects where you've successfully implemented these tools, the challenges you faced, and how you overcame them.

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Describe a complex machine learning project you have worked on.

Prepare a detailed account of a past project, emphasizing your role, the methodologies used, and the outcomes achieved. Discuss the challenges encountered and how your problem-solving skills contributed to the project's success.

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How do you approach model optimization?

Discuss your systematic approach to model optimization, including techniques you employ like hyperparameter tuning, feature selection, and cross-validation. Share examples of past experiences where you've successfully optimized a machine learning model.

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What are the key considerations when deploying machine learning models?

Highlight the importance of scalability, performance monitoring, and ongoing maintenance when deploying models. Discuss any experiences you've had with deployment pipelines and tools that facilitate continuous integration.

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How do you handle data preprocessing and feature engineering?

Emphasize your understanding of the significance of clean, well-prepared data for successful modeling. Share methods you've used for data cleaning and feature engineering, along with any relevant tools or libraries.

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Describe your experience working in Agile teams.

Share insights into your experiences working within Agile methodologies, discussing the roles you’ve played and how Agile principles have influenced your workflow. Think about times when Agile approaches allowed you to deliver better outcomes.

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How do you ensure that AI solutions are compliant with ethical guidelines?

Discuss your approach to ensuring ethical compliance in AI solutions by addressing fairness, transparency, and accountability. Share any relevant frameworks or guidelines you've followed in your work.

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What methods do you use to communicate technical concepts to stakeholders?

Talk about your strategies for breaking down complex technical information into relatable terms for business stakeholders. Personal anecdotes about successful presentations or meetings can highlight your communication skills.

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Can you discuss a time when you had to mentor a junior team member?

Illustrate your mentoring experience with specific examples of how you guided a junior team member through a project, highlighting the skills you focused on and the results of your mentorship.

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What do you foresee as the future trends in machine learning and AI?

Share your insights on emerging trends in machine learning and AI that you believe will shape the future of the industry. Discuss how you stay updated on these trends and how you would apply them in your work.

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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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