Machine Learning Process Engineer

The Process Engineer is responsible for driving process optimization, operational excellence, and continuous improvement initiatives using Lean Six Sigma (LSS) methodologies. This role focuses on improving quality, cost, yield, cycle time, and productivity through structured problem‑solving, data analysis, and cross‑functional collaboration in a manufacturing environment.

Key Responsibilities

• Lead and execute Lean Six Sigma (DMAIC) projects to improve manufacturing processes, reduce variation, and eliminate waste.
• Analyze existing processes, identify improvement opportunities, and implement sustainable corrective actions aligned with business goals.
• Collect, analyze, and interpret process data using statistical tools to identify root causes and drive data‑based decisions.
• Develop and monitor process metrics (e.g. yield, cycle time, cost, quality) to measure performance and improvement effectiveness.
• C...