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Staff ML Scientist - PFI

Visa · Bengaluru, Hybrid, India

Remote Full-time Posted 4 days ago

About this role

About Us 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. Job Description Essential Functions: Proficient in exploratory data analysis (EDA) using Python’s scientific libraries including NumPy, Pandas, Matplotlib, Seaborn, and scikit‑learn. Strong development experience in Python

Hands‑on experience building, training, testing, validating, and productizing machine learning models for high‑performance use cases. Solid understanding of core machine learning concepts, including feature engineering, model evaluation, and optimization. Experience implementing MLOps best practices, including model versioning, monitoring, and CI/CD pipelines for ML models

Hands‑on experience with AWS SageMaker for building, training, tuning, and deploying ML models. Hands‑on experience with to AWS services for machine learning workloads, such as S3, EC2, ECR, EKS, Lambda, CloudWatch. Strong understanding of model explainability frameworks such as SHAP, and the ability to interpret and explain model behavior

Experience debugging and analyzing false positive and false negative cases, including supporting client or production issues. Hands‑on experience and solid understanding of deep learning models, with exposure to frameworks such as TensorFlow, PyTorch, or Keras. Strong problem‑solving skills with the ability to move beyond tasks and propose improved or alternative solutions

Experience with ML lifecycle management and experimentation frameworks such as MLflow This is a hybr

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