Visa
Senior Machine Learning Engineer
Visa, Foster City, California, United States,
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.
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.