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 #LifeatVisa.

Job Description

The Global AI/ML Product & Platforms team under the Global Data Office is creating the next generation of scalable and responsible AI/ML and Data products and solutions to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.

This position will be part of the Machine Learning Engineering and MLOps vertical under Global AI/ML Product & Platforms team.

 

• Responsible for building end to end automated pipeline for AI/ML models including model development, model validation, model refit, model recalibration, model monitoring and model serving etc.
• Work collaboratively with Data Scientists, Data Engineer, Software Engineers and cross-functional partners to design and deploy AI/ML based solutions and products
• Lead end to-end deployment and maintenance of machine learning models in production, from concept, design, implementation, to rollout, ensuring the highest quality and performance
• Identify opportunities to enhance personalization capabilities by diving deep into consumer and client needs
• Mentor team members, share knowledge, and contribute to the technical growth of the team. Provide guidance on machine learning best practices and methodologies.
• Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
• Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Visa’s unique business and offerings.
• Design, implement, and maintain reliable, high-performance distributed systems.
• Support Strategic planning, business analysis and technical knowledge of ML Engineering, tools, and data architecture solutions.
• Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.

Essential Functions:

 

• Build AI/ML pipelines to support model development, model production, model validation, model performance monitoring, model recalibration, continuous integration, continuous delivery of AI/ML models.
• New model development and existing model re-training, performance evaluation and score optimization. Preferable to have data science knowledge and experience in designing, developing and implementing Deep Learning methodologies, and newer ML model implementations at scale.
• Build and maintain high performing ETL processes including data quality and testing aligned across technology, internal reporting and other functional teams.
• Build ETL pipelines in Spark, Python, HIVE or Scala, Airflow that process transaction and account level data and standardize data fields across various data sources
• Exposure to model management and governance practices. Ability to take decisions around model drift to monitor and refine models continuously.
• Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client’s deliverables
• Define and build technical/data documentation and experience with code version control systems (for e.g., git). Ensure data accuracy, integrity and consistency

The position is based at Visa's offices in Foster City, CA.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:

• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:

• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Minimum of 5+ years of work experience with a Bachelor's Degree or 4+ years of experience with a Master’s or Advanced Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent with analytics expertise in applying statistical solutions to business problems
• Advanced knowledge and experience of AI/ML model development and implementation
• Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.
• Track record of creating robust and scalable AI/ML/Data Science solutions and products

 

Technical Skills:

• Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit, Pandas etc.)
• Advanced programming ability in different programming languages such as Spark, Python, SQL, Scala.
• Experience working with Airflow, Github, ML flow for building and maintain ETL pipeline.
• Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID).
• Expert knowledge in Deep Learning techniques and LLM.
• Experience working with large scale data ingestion, processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.).
• Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE’s (Jupyter Notebooks).
• Experience working in building and integrating the code in the defined CI/CD framework using git.
• Experience working with AWS for MLOps model development and model implementation is preferred but not required.
• Preferred experience with Visualization Tools like Tableau, Power BI and D3

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% 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 $155,300.00 to $225,300.00 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.