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Sr. ML Engineer

Visa

Sr. ML Engineer

Visa

Bengaluru

·

On-site

·

Full-time

·

5d ago

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 cross–data 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.

3 or more years of work experience with a Bachelor’s 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

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 is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

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About Visa

Visa

A multinational financial services company that facilitates electronic payment systems throughout the world.

10,001+

Employees

Foster City

Headquarters

$500B

Valuation

Reviews

2.0

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.3

10%

Recommend to a Friend

Pros

Active recruiting for senior positions

Work authorization support for spouses

Opportunity to seek external roles

Cons

Toxic work environment

Below-market compensation offers

Poor management and leadership

Salary Ranges

23 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

1 reports

$106,195

total / year

Base

$92,300

Stock

-

Bonus

-

$106,195

$106,195

Interview Experience

4 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design