Staff Data Engineer-(AI/ML,Distributed systems Model Dev-7 yrs)

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

As a Staff Data Engineer in the Data & AI Platform team, you will design, enhance, and build solutions dealing with batch and real-time data in a fast-paced environment. We believe in self-managing Agile teams who build products end to end focusing on unit testing, code reviews and continuous integration for excellent code quality.

As a team of passionate and dedicated engineers, we are the backbone for Data Engineering & Machine Learning developments at Visa. We analyze, optimize, and automate the whole nine yards of the ML process and cover a wide spectrum of models deployed across the globe!

What We Offer: 

Exciting Challenges: Training ML models at scale requires solving hard problems across the entire stack. We offer limitless opportunities to learn, leverage, and lead in this ever-growing field. 

Teamwork and Fun: Each of us brings diverse and rich experiences to the team, enabling us to deliver much more and have fun at the same time. 

Fantastic people: With strong leadership, you will have the opportunity to learn, collaborate and deliver together with some of the best and most creative minds in the industry. 

This team is growing fast. With the way machine learning becomes core to every product, you will get a chance to improve the ML platform with specialized capabilities. Join us and be an integral part of the group that is at the leading edge of ML Engineering. 

What you will Do:

You will leverage your out of the box thinking to implement effective and efficient solutions for our users. You will use your strong technical background in designing, implementing, engineering, and optimizing our machine learning platform and products in a fast-paced environment. You will guide team, build and push code into production and understand the importance of performance, testability, and maintainability.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualification
-5+ 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, OR 8+ years of relevant work
experience.
Preferred Qualifications:
-6+ years of experience in Data Infrastructure, AI OR ML.
-Industry experience building end-to-end Machine Learning Platform
infrastructure or building and productionizing Machine Learning models.
-Proficient in cloud computing and data processing infrastructure and tools:
Kubernetes, Airflow or equivalent, Spark, Hive, SQL.
-Proficient in some of the ML training and deployment frameworks like:
Tensorflow, PyTorch, Ray etc.
-Good understanding of Machine Learning best practices on training, serving,
skew minimization, A or B test, feature engineering, model selection. Working
knowledge on ML algorithms like gradient boosted trees, neural networks or
deep learning, optimization.
-Good understanding of features that help Platform to keep up with the latest
advancement of generative AI and large language models.
-Strong ownership and ability to lead project end to end. Good communicator,
both to technical and business audiences.
-Ability to work in multicultural, cross functional team, and to deal with
ambiguity in business and technology.

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.