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PayPal Senior Software Engineer - Big Data 
India, Karnataka, Bengaluru 
672251003

Yesterday

Essential 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.

Minimum Qualifications:

  • 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.

Preferred Qualification:

  • Strong programming skills in Big data processing(Pig/Scala+Java/Python)and SQL.
  • Strong in data issue investigation and problem solving. Ability to synthesize information and generalize the pattern.
  • Expertise on big data platform and infrastructure
  • Develop, optimize and maintain ETL pipelines to handle large volumes of data from multiple sources for advanced 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
  • Collaborate with engineers from other sites, data scientists and 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 version control systems (Git) and CI/CD practices
  • Familiar with Linux environments; able to perform troubleshooting and write automation scripts (Shell/Python)
  • Good documentation habit and can sync up with teams across different locations remotely
  • Good understanding of security principles and data protection
  • Experience with time-series databases (InfluxDB)
  • Knowledge of RESTful API development and HTTP client libraries
  • Experience 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