Sr. ML Engineer

This role is critical to ongoing and committed FY26 deliverables including real-time data sharing initiatives and consolidated feature development.

The position supports implementation and tuning of intelligence-store capabilities that enable crossdata center data sharing (e.g. VIP/Common or Feature Space).

Backfilling this role will mitigate delivery risk avoid knowledge gaps and ensure continuity on high-priority initiatives already in execution.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

3 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD) or 5 years of relevant work experience
Experience working on distributed microservices systems.
Development experience with Golang/Rustlang (alternatively a strong background in C/C or Java)
Experience in real-time streaming systems (Spark/Flink/Kafka)
Skilled with Docker & Kubernetes and hands on Ansible/CI CD pipelines
Experience using and configuring operational tools such as Splunk Humio Prometheus & Grafana.
Proven knowledge of successful design architecture and development using Big Data Hadoop J2EE and Spark with large data volumes and transaction systems
Possesses a deep understanding of benefits/drawbacks of different integration patterns
Ability to solve complex software development/design issues
Ability to write clean coherent code following established coding guidelines
Strong interpersonal facilitation and effective communication skills (both written and verbal) and the ability to present complex ideas in a clear concise way
Experience developing as part of Agile/Scrum team is preferred
Passionate about delivering zero defect code that meet or exceed the proposed defect SLA and have high sense of accountability for quality and timeliness of deliverables
Ability to deliver on multiple projects and manage priorities based on changing directions
Highly driven resourceful and results oriented
Demonstrated ability to lead and navigate through ambiguity
Past experience in Payments knowledge is preferred

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 :

Full-time