Senior Software Engineer - Big Data

You will be responsible for developing, implementing, and maintaining an advanced machine learning-based monitoring platform with cutting-edge big data capability. Your role will involve building scalable monitoring pipelines, ensuring data quality, and fixing issues in production environments to drive business insights and improve customer experiences.

Key Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Qualification Required:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

About the Company:

The company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. These values ensure working together as one global team with customers at the center of everything. The company is committed to diversity and inclusion.

To learn more about the company's culture and community, visit [https://about.pypl.com/who-we-are/default.aspx](https://about.pypl.com/who-we-are/default.aspx).,