Senior Machine Learning Engineer- GenAI Platform - job 4 of 6

As a Senior Machine Learning Engineer at Visa, your key responsibilities will include collaborating with multi-functional teams to develop new data-driven business solutions, driving end-to-end development efforts to ensure high-quality delivery, and innovating LLM applications using Retrieval-Augmented Generation. You will also need to effectively communicate technical solutions and status updates with project stakeholders to ensure alignment and transparency.

To qualify for the Senior Machine Learning Engineer role at Visa, candidates should possess a solid understanding of AI and machine learning principles, as well as robust problem-solving skills. Experience with large language models, inferencing algorithms, and relevant machine learning stacks is essential. Strong communication and collaboration skills are also critical for working effectively within cross-functional teams.

In the hybrid role as a Senior Machine Learning Engineer at Visa, you will have the flexibility of alternating between remote work and office presence. Employees are expected to be in the office 2-3 days a week, which enables collaboration with project teams and fosters innovation while allowing for the comfort and focus of remote work.

Senior Machine Learning Engineers at Visa will work on innovative projects involving the development and deployment of Large Language Model applications. These projects will focus on enhancing payment solutions, improving system efficiency, and advancing the capabilities of generative AI technology in a real-world context.

Visa fosters a culture of innovation and collaboration, encouraging Senior Machine Learning Engineers to face challenges head-on and question the status quo. A commitment to personal and professional growth shapes the work environment, emphasizing teamwork, knowledge sharing, and achieving impactful results on a global scale.

Absolutely! The RAG framework combines the principles of retrieval-based and generation-based models, allowing you to extract relevant information from a dataset and then generate contextually appropriate responses. This method is particularly useful in developing applications focused on enhancing customer interactions and providing advanced data-driven solutions, making it vital for the LLM role at Visa.

When discussing your experience, highlight specific instances where you’ve successfully taken machine learning models from development to production. Explain the challenges you faced, how you ensured scalability under heavy loads, and the tools or frameworks you utilized. This demonstrates your ability to operate in Visa's high-demand environment.

Fine-tuning involves adjusting the model’s weights and parameters based on additional data or new conditions. I start with a robust understanding of the core model, then gradually introduce new datasets, iterating based on performance metrics, and always validating the model’s outputs to ensure it meets the required standards.

Choose a project that showcases your leadership and technical acumen. Describe your role, how you collaborated with teams, the challenges you overcame, and, most importantly, the tangible impact it had on the business or technology stack. This will illustrate your capability as a Senior Machine Learning Engineer at Visa.

Be prepared to discuss a range of frameworks like TensorFlow, PyTorch, and scikit-learn that you've used. Share your insights into why you prefer certain stacks for specific tasks, emphasizing how your choices improve efficiency and model performance.

Effective documentation is crucial. Highlight your approach to keeping thorough records of processes and workflows, and share how you present these insights to your team to foster collaboration, learning, and continuous improvement, aligning closely with Visa's emphasis on teamwork.

Explain your systematic approach to identifying, documenting, and managing risks. Discuss how you track potential issues throughout the lifecycle of a project and how proactive communication with the team ensures smooth resolutions—key to your role at Visa.

Share your passion for innovation, problem-solving, and the transformative power of machine learning. Explain how these motivations align with Visa's mission to reshape commerce through technology, underscoring your enthusiasm for contributing to impactful projects.

Discuss your strategies for prioritization, such as using agile methodologies, maintaining clear communication within your team, and employing task management tools. This shows that you can effectively manage your time and resources to meet deadlines and deliver high-quality solutions.

Outline your proactive approach to learning, whether through online courses, attending conferences, engaging with the community, or following industry-leading publications. This demonstrates your commitment to continuous improvement and innovation, critical traits for a Senior Machine Learning Engineer at Visa.