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Job Type
Full Time
Job Details
Job Description Job Summary The Client Services BI & Analytics team strives to create an open, trusting data culture where the cost of curiosity – the number of steps, amount of time, and complexity of effort needed to use operational data to derive insights – is as low as possible. We govern Client Services’ operational data and metrics, create easily usable dashboards and data sources, and analyze data to share insights. We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders, from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities. In this specialist role, we are seeking a highly skilled Senior AI Engineer to lead the development and integration of AI technologies into our Client Services operations. This role focuses on leveraging generative AI, machine learning operations (MLOps), and AI model fine-tuning to enhance service delivery and predictive capabilities. Responsibilities
- Lead the design, development, testing, deployment, and maintenance of AI solutions for various Client Services use cases, such as data extraction, document generation, process automation, anomaly detection, and sentiment analysis.
- Implement generative AI models and techniques, such as conversational AI, to enhance the quality and efficiency of service delivery.
- Establish and oversee best practices for machine learning operations (MLOps), such as data management, model lifecycle, and performance monitoring, to ensure the reliability and scalability of AI solutions
- Work with governance teams to ensure security of AI solutions.
- Fine-tune and optimize AI models based on feedback from stakeholders, business requirements, and performance metrics, using various methods such as hyperparameter tuning, architecture search etc.
- Collaborate with cross-functional teams such as IT for delivery and deployment of AI Solutions.
- Mentor and coach junior AI engineers and analysts, and foster a culture of innovation and excellence in AI within the organization.
- 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
- 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
- Experience in developing and deploying generative AI solutions.
- Expertise in Python, with practical experience in PySpark and SQL.
- Proven experience in setting up and managing MLOps environments.
- Hands-on experience with prompt engineering, fine-tuning LLMs, and using advanced AI techniques like RAG.
- Strong familiarity with data visualization and reporting tools such as Tableau.
- Demonstrated ability to work collaboratively in a team environment and communicate effectively across diverse groups.
- A strong analytical mindset, problem-solving approach, and meticulous attention to detail.
About the Company
VISA
Foster City, CA, United States
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and... Read more