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Analyst, GenAI Process

Yesterday Bogota, Colombia

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

We are seeking a technically hands-on AI/ML Analyst to join our Global Corporate Services team. This role is ideal for someone with experience in developing generative AI and machine learning tools, particularly within financial services or real estate sectors. The successful candidate will be a self-starter, detail-oriented, and thrive in a fast-paced, global environment. 

We value creative and driven individuals who love to own their products, and design and implement solutions that create a seamless experience for users.   

Responsibilities 

  • Understand the Global Corporate Services business initiatives and their importance to the growth of Visa. 
  • Design and develop machine learning algorithms and deep learning applications and systems for Visa’s Global Corporate Services function 
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks  
  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications    
  • Identify differences in data distribution that could potentially affect model performance in real-world applications 
  • Ensure algorithms generate accurate user recommendations 
  • Stay up to date with developments in the machine learning industry 

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

Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or 3+ years of hands-on experience in machine learning algorithm development or applied statistics
Proficiency in Python or R, with expertise in relevant ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, or PyTorch
Deep understanding of machine learning concepts, algorithms, and evaluation metrics (e.g., regression, classification, clustering, anomaly detection)
Experience optimizing and tuning algorithms for large-scale, real-world deployment
Strong analytical, problem-solving, and critical-thinking skills
Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
Demonstrated ability to work collaboratively in a diverse, cross-functional environment

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.

Client-provided location(s): Bogota, Colombia
Job ID: 1583b12c-a086-4f5e-870e-c296dec77032
Employment Type: OTHER
Posted: 2025-11-26T20:23:13

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)