Senior Machine Learning Engineer - AI Platform
Senior Machine Learning Engineer - AI Platform
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Job Description
Ready to make a global impact by industrializing AI
Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities privacyenhancing computation and cloud native platforms AIaS powers and automates industrialization of data models and applications for predictive and generative AI. Combined with strong governance AIaS 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.
This position will be based in Austin TX. If this sounds exciting we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.
Essential Functions:
- Collaborate with project team members (Product Managers Architects Analysts Software Engineers Project Managers etc. to ensure development and implementation of new data driven business solutions
- Drive development effort EndtoEnd for ontime delivery of high quality solutions that conform to requirements conform to the architectural vision and comply with all applicable standards
- Responsibilities span all phases of solution development including collaborating 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 or more years of work experience with a Bachelors Degree or 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).
- Exposure to leadingedge areas such as Machine Learning Big Data Distributed Systems or SRE.
- Experience in at least one or two of the following: Rust Python Java Golang or C/C.
- Any experience with Flink Spark NoSQL or Kafka highly preferred.
- Familiarity with web service standards and related patterns (REST gRPC).
- Open to experience with AWS GCP or Azure preferably in an AI/ML production environment.
- Open to experience with Prometheus Grafana Druid ELK Stack.
- Open to experiences with K8s or DevOps.
- Open to experience implementing solutions for lowlatency distributed services using open standard technologies. e.g. Streaming Systems NoSQL and Containers.
- Open to handson experience with model inference engines such as TensorFlow Serving Triton or other AI accelerators.
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
