Senior Machine Learning Engineer Cloud Observability - Visa AI as Services

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 Observability. We are seeking for a talented professional with a solid background in public cloud 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.

Key Responsibilities:

• Implement and Maintain Cloud Observability Solutions: Build and maintain monitoring logging and tracing systems (E.g. Prometheus Grafana Druid ELK Stack) for cloudnative AI services on AWS/Azure/GCP. Partner with data engineers and data scientists to embed observability into ML workflows and ensure realtime insights.

• Collaborate on AI Model Monitoring: Work closely with data scientists and product owners to design and implement observability solutions for monitoring AI/ML model performance (e.g. accuracy latency data drift) in production. Develop dashboards and alerts to detect anomalies model degradation or bias ensuring alignment with business SLAs.

• Automate Devops Practices:  Develop tools for automated deployment alerting and incident response using CI/CD pipelines like Jenkins and Github flows and infrastructure as code like Terraform.

• Document & Reporting: Create and maintain clear documentation for observability processes and best practices. Generate reports to track system health and performance trends for business and technology stakeholders.

• Incident Response: Assist in diagnosing and troubleshooting issues by analyzing metrics logs and performance data and collaborate with cross functional teams to improve system level observability from the learning.

• Stay Ahead of Trends: Explore emerging cloud and observability technologies to drive innovation.

If you are passionate about observability 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. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Qualifications:

• 2 or more years of work experience with a Bachelors Degree or an Advance 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).
• Strong development experience in one or more the following programming languages: Java Go Rust C.
• 2 years of related experience with AWS GCP or Azure preferably in an AI/ML production environment.
• Experience with one of the following: Prometheus Grafana Druid ELK Stack highly preferred.
• Experience in observability ecosystem highly preferred.

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