Sr ML Engineer 3 - 5 years of experience only
Sr ML Engineer 3 - 5 years of experience only
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Job Description
About the Role:
Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities privacyenhancing computation and cloudnative platforms VAIaS automates the updates to data models and applications. Combined with strong AI governance VAIaS optimizes the performance scalability interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space learn fast and make big impacts Visa AI as a Service is an ideal place for you!
This role is for a Senior ML Engineer to join the AI Hyperscale platform team. The primary focus will be on developing new capabilities for model validation working closely with model teams conducting load testing and implementing chaos engineering to ensure system reliability and high availability. The candidate must have strong development experience. The objective is to create new AI as a Service capability while enhancing our code base and development processes. As a dedicated developer in an Agile Scrum team you will demonstrate technical leadership problemsolving coding testing and debugging skills. A commitment to addressing the product backlog and delivering productionready code is essential as is the ability to manage various tasks.
You will be an integral part of the development team sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a selforganized individual with knowledge of web application and web service development. The candidate will perform handson activities including design documentation development and test of new functionality. Candidate must be flexible and willing to switch tasks based on teams needs.
Essential Functions
Collaborate with project team members (Product Managers Architects Analysts Software Engineers Project Managers etc.) to ensure development and implementation of new datadriven business solutions
Drive development effort EndtoEnd for ontime delivery of highquality solutions that conform to requirements conform to the architectural vision and comply with all applicable standards
Responsibilities span all phases of solution development including:
Collaborate with senior technical staff and PM to identify document plan contingency track and manage risks and issues until all are resolved
Present technical solutions capabilities considerations and features in business terms. Effectively communicate status issues and risks in a precise and timely manner
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 23 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:
- 3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Preferred Qualifications:
- 35 years of experience.
- Experience with Kafka Spark Backend development K8s
- Exposure to areas like Machine Learning Big Data Distributed Systems.
- Experience in at least one of the following: Golang Java or C/C
- Basic knowledge of ML is preferred.
- Familiarity with web service standards and related patterns (REST gRPC)
- Experience implementing solutions for lowlatency distributed services using open standard technologies.
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
