Visa

1 week ago

Machine Learning Engineer - Sr. Consultant Level

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build and evolve capabilities for an AI platform by delivering production-ready code and maturing existing development processes. Partner with Agile Scrum teams to implement data-driven business solutions end-to-end, manage risks and issues, and translate technical solutions into business terms. Work on web application and web service development, including designing and refactoring for performance and maintainability, while collaborating with technical leadership to ensure high-quality outcomes.

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with project teams to develop and implement new data-driven business solutions.
•Own end-to-end development to deliver timely, high-quality solutions aligned with requirements, architecture, and standards.
•Collaborate with senior technical staff and product management to identify, plan for, track, and manage risks and issues.
•Present technical solutions and features in business terms, communicating status, issues, and risks clearly.
•Refactor and design functionality to improve performance and maintainability, and build new AI Platform capabilities.

Travel: Low travel

Pay and Benefits

Salary: USD 152,200 - 243,700 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s Degree, or at least 5 years with an Advanced Degree, or 2 years with a PhD (or 11+ years overall).
•Expertise in at least one of: Golang, Java, or C/C++.
•Experience with web service standards and patterns such as REST and gRPC.
•Experience developing large-scale distributed systems requiring high availability, low latency, and strong data consistency.
•Experience with Big Data/analytics (e.g., Hadoop, Spark, Flink, MapReduce) and distributed caching (e.g., Redis).

Experience:8+ years

Education:Bachelor's

Skills:Problem-solvingCodingTestingDebuggingCollaborationCommunicationFlexibility

Tech Stack:GolangJavaC/C++RESTGRPCHadoopSparkFlinkMapReduceRedisContinuous IntegrationContinuous Delivery

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Visa

1 week ago

Machine Learning Engineer - Sr. Consultant Level

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Austin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with project teams to develop and implement new data-driven business solutions.
•Own end-to-end development to deliver timely, high-quality solutions aligned with requirements, architecture, and standards.
•Collaborate with senior technical staff and product management to identify, plan for, track, and manage risks and issues.
•Present technical solutions and features in business terms, communicating status, issues, and risks clearly.
•Refactor and design functionality to improve performance and maintainability, and build new AI Platform capabilities.

Travel: Low travel

Pay and Benefits

Salary: USD 152,200 - 243,700 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s Degree, or at least 5 years with an Advanced Degree, or 2 years with a PhD (or 11+ years overall).
•Expertise in at least one of: Golang, Java, or C/C++.
•Experience with web service standards and patterns such as REST and gRPC.
•Experience developing large-scale distributed systems requiring high availability, low latency, and strong data consistency.
•Experience with Big Data/analytics (e.g., Hadoop, Spark, Flink, MapReduce) and distributed caching (e.g., Redis).

Experience:8+ years

Education:Bachelor's

Skills:Problem-solvingCodingTestingDebuggingCollaborationCommunicationFlexibility

Tech Stack:GolangJavaC/C++RESTGRPCHadoopSparkFlinkMapReduceRedisContinuous IntegrationContinuous Delivery

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor