Staff Data Engineer-AIMLDistributed systems Model Dev-7 yrs
Staff Data Engineer-AIMLDistributed systems Model Dev-7 yrs
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Job Description
As a Staff Data Engineer in the Data & AI Platform team you will design enhance and build solutions dealing with batch and realtime data in a fastpaced environment. We believe in selfmanaging 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 evergrowing 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 fastpaced 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 Bachelors 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 endtoend 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
