Your tasks:
1. 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.
2. Technical Requirements:
3. Develop and maintain backend processes focused on:
4. Data engineering and SQL
5. Utilizing Databricks (experience a plus)
6. Implement front-end components with HTML, CSS, basic JavaScript, and interactive data visualizations using Plotly
7. Script and automate processes using Python and common libraries (e.g., scikit-learn, pandas, numpy)
8. Develop simple APIs for data integration and accessibility
9. Perform unit testing to ensure code quality and reliability
10. Document code, processes, and workflows for maintainability
11. Collaborate with teams to integrate machine learning models into the existing data landscape (ML experience a plus)
12. Additional Requirements:
13. Works independently, consistently meets deadlines, and delivers high-quality results
14. Familiar with agile environments; experience with Jira is advantageous
15. Strong problem-solving skills and attention to detail
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