Data Engineering Internship

Job Description

What You Will Do:

  • Design and implement data pipelines to process clickstream data for building online ML models. Implement, test and deploy scalable big data techniques to transform clickstream data into large-scale encoded and vectorized sequences
  • Own data preparation, quality analysis feature engineering to implement data pipelines for the development of various types of models
  • Collaborate with data scientists to train and evaluate new and existing models using RL, DL, and GBMs. Improve automation and operations for model training, scoring performance measurement using the MLOps platform
  • Represent data engineering within the Data Science team to ensure ML models maintain high-quality implementations that are repeatable, performant, efficient measurable
  • Innovate to address new customer use cases in target or new industries, and contribute to expanding our ML model portfolio

Our requirement:

  • We are looking for interns who are pursuing or else who have completed Bachelors Degree or higher in Computer Science, Data Science, or a similar area

Key Skills

Computer science; Automation; Usage; data science; Intern; Machine learning; Quality analysis; big data; Internship; performance measurement

About Company

ZineOne enables large enterprises in the retail, banking, and hospitality industries to understand and respond in real-time to individual customer activity, solving the challenge of personalized engagement at scale.

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