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Lead Machine Learning Engineer- Data - job 12 of 20

The Data and Artificial Intelligence Platform group is a key component of Visa's Technology organization, providing the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. Our team delivers secure, high-quality, and easy-to-use Visa core data assets, along with reliable and scalable data platforms.  Our platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business value to Visa and our clients.

As a Lead Machine Learning Engineer- Data with expertise in Machine Learning and Data Engineering, you will drive innovation in developing purpose-fit data solutions using cutting-edge technologies. You will be responsible for executing a data strategy that leverages our data assets to drive innovation through data engineering and GenAI solutions, including developing a synthetic data engine. You will also guide and mentor junior engineers, ensuring security, scalability, performance, and reliability in all data solutions. As an individual contributor based in Foster City, California, USA you will be reporting to Sr. Director of Data as a Service (DaaS) team. This team is growing fast! Join us and be an integral part of the group that is at the leading edge of pioneering Data and AI.

What We Offer:

  • Exciting Challenges: We work at a scale rarely seen in the industry, solving complex data and AI problems across the entire stack, offering limitless opportunities to leverage and lead in this ever-growing field.

  • Teamwork and Fun: Each of us brings diverse and rich experiences to the team, enabling us to deliver much more than the sum of our parts and have fun at the same time.

  • Fantastic People: With strong leadership, you will have the opportunity to learn, collaborate, and deliver together with some of the best and most creative minds in the industry.

About the Role:

  • Lead the design and architecture of robust, scalable data engineering platforms and infrastructure, including data pipelines, data warehouses, and data lakes (on-prem and cloud-based).

  • Oversee the entire data lifecycle, from data acquisition and ingestion to transformation, storage, and analysis.

  • Develop a synthetic data engine to generate on-demand privacy enhanced synthetic data where actual production data cannot be used, ensuring scalability and compliance.

  • Build and experiment with modeling and scoring algorithms, including custom algorithms and packaged tools based on machine learning, analytics, and statistical techniques.

  • Champion the adoption of GenAI and Agentic AI technologies and develop strategies to integrate them into existing workflows or build new ones.

  • Ensure data security, privacy, governance, and compliance with all relevant regulations, and develop and implement auditable policies and procedures.

  • Lead and guide a high-performing data engineering and ML team, fostering a culture of innovation and continuous learning.

  • Partner with business stakeholders to understand their needs and translate them into actionable data-driven solutions.

  • Stay up-to-date on emerging data and AI trends and technologies.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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 Lead Machine Learning Engineer- Data, Visa

At Visa, we are on the cutting-edge of technology and innovation, and as our Lead Machine Learning Engineer- Data, you'll be right at the heart of it! Located in Foster City, California, you’ll join the Data and Artificial Intelligence Platform group, playing an essential role in transforming our data assets into valuable insights and services for our customers. You will dive deep into the intricacies of machine learning and data engineering, crafting tailored solutions that push the boundaries of AI. Imagine working on groundbreaking projects like developing a synthetic data engine that allows for secure, on-demand data simulation! Your leadership will guide an enthusiastic team, where your influence will help foster a culture of continuous learning and exploration. If you’re passionate about building robust data platforms and enjoy tackling complex data challenges, this is your opportunity. With a mix of exciting challenges and a vibrant team atmosphere, you'll collaborate with some of the brightest minds in the industry. Join Visa in this innovation journey as we redefine how data and AI interact in the financial services world.

Frequently Asked Questions (FAQs) for Lead Machine Learning Engineer- Data Role at Visa
What responsibilities does a Lead Machine Learning Engineer- Data have at Visa?

As a Lead Machine Learning Engineer- Data at Visa, you will design and architect scalable data engineering platforms, oversee the entire data lifecycle, and develop advanced synthetic data solutions. You will lead a high-performing team while ensuring compliance with data security regulations and fostering innovation through GenAI technologies.

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What qualifications are needed for the Lead Machine Learning Engineer- Data position at Visa?

Visa seeks candidates with expertise in machine learning, data engineering, and a solid understanding of data platforms. A bachelor's degree in a related field, along with experience leading teams and implementing AI-powered data solutions, is typically required to excel in this role.

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How does the Lead Machine Learning Engineer- Data role contribute to Visa's business?

The Lead Machine Learning Engineer- Data role is pivotal at Visa as it drives innovation by leveraging data assets to create actionable insights. Through developing data solutions and ensuring high-quality data management, you will enhance operational efficiencies and deliver impactful services to our business clients.

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What technologies are commonly used by the Lead Machine Learning Engineer- Data at Visa?

In the Lead Machine Learning Engineer- Data position at Visa, you'll work with cutting-edge technologies like cloud-based data platforms, machine learning frameworks, analytics tools, and GenAI technologies. Familiarity with software development and data management tools is essential to stay ahead in this role.

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What does the career growth look like for a Lead Machine Learning Engineer- Data at Visa?

Visa offers a dynamic environment that encourages career growth for a Lead Machine Learning Engineer- Data. You will have opportunities to take on more advanced projects, lead larger teams, and explore innovative technologies in the rapidly evolving AI landscape.

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Common Interview Questions for Lead Machine Learning Engineer- Data
Can you describe your experience with machine learning projects?

When answering this question, provide specific examples of projects you’ve worked on, including the technologies used and the outcomes achieved. Emphasize your problem-solving skills and how you contributed to team success.

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How do you ensure data security and compliance in your work?

Discuss the data security measures and compliance standards you follow, such as encryption techniques, data governance policies, and your familiarity with regulations like GDPR or CCPA. Highlight any relevant experiences with implementing these strategies in past roles.

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What methods do you use to evaluate the performance of machine learning models?

Mention various performance metrics such as precision, recall, F1 score, ROC-AUC, and how you utilize them to refine models. Discuss your process for conducting A/B testing and validation to ensure models meet business objectives.

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How do you approach mentoring junior engineers?

Share your strategies for mentorship, including setting clear goals, providing constructive feedback, and creating a safe space for questions. Emphasize your commitment to fostering a culture of learning and collaboration.

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What experience do you have with synthetic data generation?

Detail your understanding of synthetic data and any projects you've previously worked on that involved generating synthetic datasets. Describe the importance of privacy and compliance in your work.

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Can you explain your experience with cloud-based data platforms?

Discuss your hands-on experience with cloud services like AWS, Azure, or Google Cloud. Highlight specific projects that showcase your skills in designing and managing data infrastructure on these platforms.

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What are GenAI technologies, and how have you utilized them?

Define GenAI technologies and discuss previous experiences where you've integrated these tools into workflows to enhance data processing, insights generation, or decision-making. Share the outcomes and impact of your strategies.

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How do you stay current with emerging technologies in data and AI?

Describe your approach to continuous learning, including attending conferences, engaging with professional communities, subscribing to industry journals, and your participation in relevant courses to keep your skills fresh and current.

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How do you handle tight deadlines and project pressure?

Share your strategies for managing stress and prioritizing tasks effectively. Discuss any tools you use for planning and collaboration that help you maintain productivity under pressure.

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What is your approach toward building scalable data pipelines?

Outline your technical expertise in designing scalable data pipelines and the tools you often use, like Apache Kafka or Spark. Provide examples of past projects where your solutions greatly improved data processing efficiencies.

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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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