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PayPal

Staff Machine Learning Engineer

PayPal

Staff Machine Learning Engineer building data infrastructure and ML pipelines for global fraud prevention. Collaborating across teams to transform data into actionable insights.

Posted 7/1/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing machine learning models, with a strong focus on deploying and maintaining solutions in production environments. Proficient in collaborating with cross-functional teams to integrate machine learning models into products and services while monitoring and evaluating model performance.

Highest-signal resume keywords
Machine Learning Model DevelopmentTensorFlowPyTorchAWSCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData AnalysisModel OptimizationData PreprocessingModel Deployment
Soft Skills
CollaborationProblem-Solving
Tools & Technologies
Scikit-learnAzureGCP
Industry Keywords
Production EnvironmentsPerformance Monitoring

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Lead the development and optimization of advanced machine learning models.
  • Oversee the preprocessing and analysis of large datasets.
  • Deploy and maintain ML solutions in production environments.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models, making necessary adjustments.

Requirements

What you’ll need
  • 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Benefits

Comp & perks
  • generous paid time off
  • healthcare coverage for you and your family
  • resources to create financial security and support your mental health