Manufacturing Engineer
Core
Analyze production data to drive yield, cycle time, and cost improvements on manufacturing lines while deploying machine learning models for defect detection and anomaly identification.
Role type
Manufacturing Engineer (Industrial IoT & ML)
Builds
Real-time dashboards, automated data pipelines, and ML models for yield prediction and computer-vision defect detection.
Domain
Semiconductor manufacturing / Industrial Automation / Industry 4.0
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Lean Six Sigma (DOE, root-cause analysis), Statistical Process Control (SPC, Cpk), Python, SQL, data visualization, machine learning model deployment, process qualification
Preferred skills
Green Belt certification, experience with MES integration, robotics/automated material handling, IIoT sensor deployment
Technologies
Python, SQL, Minitab, JMP, Excel, Power BI
Responsibilities
Plan and execute Lean/Six Sigma/TPM projects, build and deploy ML models for manufacturing use cases, develop real-time dashboards and data pipelines, support automation and Industry 4.0 initiatives, maintain SPC systems, investigate yield/quality excursions using 8D/DMAIC/FMEA, support NPI process qualification, partner with Equipment/Maintenance teams, document standard work and process specifications.
Seniority
Mid-level, hands-on IC