Requirements: Position requires a Masters degree or foreign equivalent in Information Technology Computer Engineering Electrical Engineering and other closely related degrees with emphasis on machine vision machine learning or data science. Must have the following skills gained in any amount through Masters Degree-level coursework internship or employment: Vision system software and algorithm development and data analysis using programming languages C C# and/or Python; Image processing techniques to design develop and productionize imaging tools to support quality initiatives; Network infrastructure and industrial protocols EtherCAT Profinet and/or TPC/IP to integrate vision systems with other manufacturing systems (MES); Machine learning techniques and Advanced Statistical Analyses (SVM Random Forest Bayesian inference graph models computer vision and/or neural networks) to engineer steel production optimization and process automation models; Implementing deep learning models CNN and/or PyTorch on cloud architecture to perform visual recognition tasks; Hardware-software interactions version control and resource utilization on CPT/GPU.
Travel Requirement: N/A
Salary: $89710.00/yr
To apply: Send resume and cover letter to with Ref# MG0525 in re line.
Job title: Surface Inspection Engineer (Ref# MG0525)
Company name: Big River Steel LLC
Job Site Address: 2027 East State Highway 198 Osceola AR 73270
Job Duties: (FT) Develop and implement surface inspection software systems that are used to detect identify and troubleshoot quality issues throughout the steel production process; Ensure that vision inspection software systems operate effectively and align with BRS goals and objectives; Build web applications using API frameworks to support each stage of the data pipeline and automate daily processing of data related to system defects and quality control; Develop data feeds for forwarding of defects-related data to different operational units; Assist Quality Production and other personnel as needed in detection identification and troubleshooting of technical surface inspection system quality issues; Assist in training of personnel on surface inspection software systems use and functionality.