Machine Learning Engineer
2 weeks ago
Role Overview
You'll be responsible for creating and refining models that flag customers likely to discontinue their service. This includes developing production ready predictive systems, building and maintaining data pipelines for feature creation, tracking how these models perform over time, and working closely with commercial teams to turn analytical findings into practical retention actions.
Core Capabilities
Hands on experience working with datasets aimed at understanding or forecasting customer churn.
Strong programming ability in Python or R, plus solid SQL skills and comfort working in environments like Databricks.
Background with mainstream machine learning libraries such as Scikit learn, TensorFlow, or PyTorch.
Deep understanding of designing and implementing features at scale and working with large datasets.
Solid grasp of statistics and predictive modelling methods.
Exposure to major cloud ecosystems (Azure, AWS, or Google Cloud) along with distributed processing tools like Spark or Databricks.
Able to communicate clearly with stakeholders regardless of technical depth.
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