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PayPal Staff Software Engineer- Bigdata 
India, Karnataka, Bengaluru 
665854969

02.09.2025

This job will lead the design, development, and implementation of advanced monitoring and data preparation functions for machine learning models and strategies to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through big data and AI/ML solutions. Your role will involve building scalable ETL pipelines, ensuring data quality and latency, and fix issues in production environments to drive business insights and improve customer experiences


Essential Responsibilities:

  • 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.

Minimum Qualifications:

  • Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent 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.

Preferred Qualification:

  • Lead the development,optimizationand maintananceofETL pipelinesto handle large volumes of data from multiple sourcesforadvanced machine learning models

  • Build and optimize distributed data processing systems using big data frameworks and technologies

  • Maintain and improve existing data infrastructure, ensuring high availability and fault tolerance

  • engineers from other sites,data scientistsand business stakeholders to understand data requirements and deliver appropriate solutions

  • Strong proficiency in Python, Java or Scala

  • Extensive experience with Apache Spark (Spark SQL, Spark Streaming, PySpark)

  • Hands-on experience with Hadoop ecosystem (HDFS, YARN, Hive, HBase)

  • Experience with cloud-based data platforms (Google BigQuery)

  • Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB)

  • Experience with time-series databases (InfluxDB)

  • Experience with version control systems (Git) and CI/CD practices

  • Familiar with Linux environments; able to perform troubleshooting and write automation scripts (Shell/Python)

  • Knowledge of RESTful API development and HTTP client libraries

  • Experience inperformance tuning of big data solutions

  • in building GenAI based solutions

  • Strong problem-solving skills and attention to detail

  • Experience working in agile development environments

  • Excellent communication and collaboration skills

Our Benefits:

Any general requests for consideration of your skills, please