AI Engineer at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Programming, Distributed Computing, Data Structures, Algorithms, SDLC, Scripting Frameworks, Apache Spark, Hadoop, Hive, Python, AWS, MLOps, MLFlow, Gen AI

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a bachelor’s degree Hands on programming knowledge. Thorough understanding on file systems. Strong problem-solving skills. Thorough understanding on operating systems. Thorough understanding on distributed computing. Thorough understanding on SDLC. Thorough understanding on data structures and various algorithms for data manipulation. Having knowledge on scripting frameworks. Willing to go extra mile and strong communication skills. Willing to learn new technologies and doing proof of concepts. Highly motivated to work in various technologies. Highly motivated to work in global teams. Highly motivated to work with bigger teams. Highly motivated to collaborate in office. Additional Qualifications (good to have): Having knowledge on big data systems like Apache spark, Hadoop, hive. Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries such as Angular is a plus. Working with AWS environment. Having python programming knowledge is big plus. Have worked in application development is plus. Having knowledge in Gen AI technologies. Having knowledge in Airflow. Having experience in building MLOPs solutions. Having experience in Machine learning model building. Having experience working with MLFlow. Having experience in working with environments like Triton or Tensor RT. Additional Information 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. Job Family Group: Engineering and Technology

Responsibilities

The engineer will manage large volumes of data and create efficient, automated processes for predictive models. They will also focus on standardizing ML/AI tools to support the company's suite of risk management solutions.