Machine Learning Engineer- Sr. Consultant level- AI Governance - job 18 of 21

As a Machine Learning Engineer at Visa, you will be responsible for designing, enhancing, and building solutions that contribute to the AI Governance engineering initiatives. Your role will involve leveraging Generative AI tools, developing an advanced Responsible AI platform, and implementing effective solutions that address challenges in AI governance. You'll work with emerging technologies and frameworks to ensure Visa's AI systems are transparent, fair, and robust

To apply for the Senior Machine Learning Engineer position at Visa, candidates should possess a strong background in machine learning, data science, or a related field. A solid understanding of architectural principles, experience with Generative AI technologies, and familiarity with frameworks like LangGraph or LangChain are crucial. Additional skills in utilizing APIs such as OpenAI and Llama will be highly beneficial.

As a Senior Machine Learning Engineer at Visa, you'll work with a range of advanced technologies in the field of AI, including Generative AI tools and agentic frameworks like LangGraph and LangChain. You'll have the opportunity to implement cutting-edge methodologies like Retrieval-Augmented Generation (RAG), Fine-Tuning, and Reinforcement Learning techniques, which will help elevate Visa's AI Governance efforts.

The AI Observatory product at Visa is an innovative initiative designed to provide a comprehensive inventory of machine learning models and AI systems. It ensures oversight of the model's entire lifecycle while focusing on critical aspects like accuracy, transparency, fairness, and robustness. As a Machine Learning Engineer, you'll contribute to its development and implementation, thus playing a key role in establishing Visa as a leader in AI governance.

On a daily basis, a Machine Learning Engineer in AI Governance at Visa may engage in designing and implementing AI solutions, collaborating with stakeholders to define and prioritize initiatives, and exploring new technologies to uplift AI governance frameworks. You'll also spend time analyzing model performance metrics and continuously iterating on solutions to enhance the quality and reliability of Visa's AI systems.

When answering this question, highlight specific projects or applications where you successfully implemented Generative AI technologies. Discuss the tools you used, challenges faced, and the impact of your solutions.

This is your chance to demonstrate your understanding of model governance. Share examples where you ensured model accuracy, fairness, and transparency, and how you addressed the challenges in those areas.

Talk about your systematic approach to problem-solving. Begin by identifying the challenge, analyzing data, and assessing potential solutions. Mention your collaboration with cross-functional teams and how you adapt solutions based on performance feedback.

Discuss ethics in the context of AI governance. Highlight the importance of fairness, accountability, transparency, and the need for responsible AI deployment. You can also reference specific frameworks or guidelines you adhere to.

Your answer should touch on monitoring, validation, and continuous improvement processes. Discuss how you use performance metrics and feedback loops to refine models, ensuring they meet required standards.

Illustrate your understanding of data's significance in AI projects. Explain your methods for ensuring data quality, including validation techniques, data preprocessing measures, and working with diverse data sources.

Emphasize your familiarity with AI frameworks such as TensorFlow, PyTorch, or any relevant generative models you have worked with. Provide details on your contributions and the results achieved through the use of these tools.

Share your strategies for keeping up with the fast-paced field of AI, including attending conferences, participating in webinars, following thought leaders, and engaging with professional communities. Mention any recent technologies you've explored.

Address your conflict resolution skills by describing your approach to listening, understanding diverse viewpoints, and finding common ground. Emphasize your focus on collaborative problem-solving to reach optimal governance outcomes.

Express your enthusiasm for the role and the company. Discuss how Visa's commitment to trustworthy AI resonates with your values and how your skills align with their mission, including fresh ideas you may bring to the table.