Your tasks:
Supports the development of an automated recommender system that leverages machine learning to identify manufacturing process improvements. The system provides actionable insights displayed to manufacturing sciences experts and operators.
Technical Requirements:
Develop and maintain backend processes focused on:
Data engineering and SQL
Utilizing Databricks (experience a plus)
Implement front-end components with HTML, CSS, basic JavaScript, and interactive data visualizations using Plotly
Script and automate processes using Python and common libraries (e.g., scikit-learn, pandas, numpy)
Develop simple APIs for data integration and accessibility
Perform unit testing to ensure code quality and reliability
Document code, processes, and workflows for maintainability
Collaborate with teams to integrate machine learning models into the existing data landscape (ML experience a plus)
Additional Requirements:
Works independently, consistently meets deadlines, and delivers high-quality results
Familiar with agile environments; experience with Jira is advantageous
Strong problem-solving skills and attention to detail
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