PayPal

Senior Staff Machine Learning Engineer

PayPal

full-time

Posted on:

Location: 🇮🇳 India

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow

About the role

  • This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
  • Essential Responsibilities: Define and drive the strategic vision for machine learning initiatives within the team. Lead the development and optimization of 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. Mentor and guide junior engineers and data scientists. Ensure adherence to best practices and industry standards in ML development.
  • Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Proven track record of leading the design, implementation, and deployment of machine learning models.

Requirements

  • Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
  • Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Proven track record of leading the design, implementation, and deployment of machine learning models.
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