STAFF MACHINE LEARNING ENGINEER

Company: Visa
Location: San Diego
Posted on: November 6, 2024

Job Description:

Job Description

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.
The AI Experimentation Platform (AIEP) team, a key component of the Data and AI Platform (DAP) technology organization within Visa, is at the forefront of harnessing the power of Artificial Intelligence (AI) to drive strategic growth and operational efficiency. The team is dedicated to developing an advanced platform that fosters technological innovation and delivers impactful solutions. This dedicated team is an integral part of Visa's commitment to harnessing AI's power, reflecting the company's forward-thinking approach to technological innovation. By creating an environment that fosters AI experimentation, they are paving the way for Visa's future growth and continued success.
As a Staff ML Engineer, you will have the unique chance to make a direct and meaningful impact by delivering solutions that power AI systems. You will design, enhance, and build solutions dealing with the next generation AI/ML and GenAI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors.
Essential Functions:

• 
  
• Develop platforms, applications, and solutions powered by machine learning to tackle business challenges and enhance product performance.
  
• Write high-quality, efficient, testable code using one or more of the programming languages: Java, Python, Rust, JavaScript, and/or Scala.
  
• Implement machine learning pipelines and workflows for data preprocessing, feature engineering, model training, and evaluation.
  
• Drive the development effort end-to-end for timely delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards.
  
• Collaborate with senior technical staff and Project Managers to identify, document, plan contingency, track and manage risks and issues until all are resolved.
  
• Present technical solutions, capabilities, considerations, and features in business terms.
  
• Effectively communicate status, issues, and risks in a detailed and timely manner.
  
  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 2-3 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:
  

• 
  
• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
  
  Preferred Qualifications:
  
  • 
    
  • 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
    
  • Experience programming in at least one or more of Java, Python, Scala, and Go.
    
  • Experience with MySQL and NoSQL databases such as Cassandra, including data model design, cluster setup, and performance tuning.
    
  • Hands-on experience with web service standards and related patterns (REST, gRPC).
    
  • Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx) is a plus.
    
  • Knowledge and experience working on Single Page Applications development using Angular or similar framework is a plus.
    
    Additional Information:
    Work Hours: Varies upon the needs of the department.
    Travel Requirements: This position requires travel 5-10% 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.
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Keywords: Visa, Catalina Island , STAFF MACHINE LEARNING ENGINEER, Engineering , San Diego, California