Job Description And Responsibilities

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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.

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

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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.

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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

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