Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 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. We are seeking a highly skilled person for this position, 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 analystsand foster a culture of innovation and excellence in AI within the organization. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Basic Qualifications: 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 Preferred Qualifications: 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. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 129,200 to 234,250 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
PySpark Business Intelligence (BI) MLOps Manager Tableau SQL Artificial intelligence (AI) Python Machine Learning Analytics Retrieval-Augmented Generation (RAG)