Senior Machine Learning Engineer - Cloud AI Platform
Senior Machine Learning Engineer - Cloud 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 role is for a Sr. ML Engineer Cloud AI Platform with a strong development background whose primary objective will be to extend our AI as a Service platform to the Public Cloud MultiCloud and OnPremises environments while enhancing and optimizing our existing codebase and development procedures as well as developing new solutions. We are seeking a talented professional with a solid background in public cloud multicloud onpremises and AI/ML production systems. This role offers ample opportunities for learning and growth and the chance to be part of delivering the next big thing for our AI as Services team.
If you are passionate about cloud technology AI and machine learning and are excited about making a significant impact we would love to hear from you.
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 or PhD).
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).
- Development experience in Python.
- Strong development experience in one or more the following programming languages: Go Rust Java.
- Handson experience with model inference engines such as TensorFlow Serving Triton or other AI accelerators.
- Experience with Kubernetes Flink SQS Kafka is a plus.
- Experience in building large scale distributed high performance system in payments or other domains.
- 2 years of related experience with AWS GCP or Azure preferably in an AI/ML production environment.
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
