Senior Machine Learning Engineer
Senior Machine Learning Engineer
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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 position is for a Senior Engineer with solid development experience who will focus on creating new capabilities for Visa AI as a Service while maturing our code base and development processes. In this position you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership problemsolving abilities coding testing and debugging skills is just a start. You must be dedicated to filling product backlog and delivering productionready code. You must be willing to go beyond the routine and prepared to do a little bit of everything.
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:
2 years of relevant work experience with a Bachelors Degree or 0 years of
relevant work experience with an Advanced degree (e.g. Masters/MBA/JD/MD).
Preferred 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)
Experience with Kafka Spark Golang Backend dev K8s DevOps
Exposure to areas like Machine Learning Big Data Distributed Systems or SRE or Java or C/C.
Experience in at least one of the following: Golang Java or C/C
Familiarity with web service standards and related patterns (REST gRPC)
Experience implementing solutions for lowlatency distributed services using open standard technologies.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116500.00 to 164500.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
