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Job Requirements of Machine Vision Engineer:
-
Employment Type:
Contractor
-
Location:
Painted Post, NY (Onsite)
Do you meet the requirements for this job?
Machine Vision Engineer
Careers Integrated Resources Inc
Painted Post, NY (Onsite)
Contractor
Title: Machine Vision Engineer
Location: Painted Post, NY 14870 (Onsite Position)
Contract: 1+ Year (Possible of extension)
Shift: 1st Shift (Monday - Friday 8 AM - 5 PM EST)
Pay Range: $50 - $55.67/Hour on W2
Interview Process: Two interviews by Teams Meeting. Manager is open to non-local candidates anywhere in the US who are willing to relocate long term to Client, NY.
Top skills:
- Bachelors and 3-5 years experience with the skills listed in the Required skills section. These are hard requirements. Candidates who possess the desired skills will be given first consideration.
Product of Position:
A contractor position within the Client Manufacturing Technology and Engineering (MT&E) organization with the purpose of contributing to building imaging systems and developing software and algorithms for processing imaging data. This work supports the inspection and production of various Client glass and ceramics products.
Day to Day Responsibilities:
Work closely with the measurements group to develop approaches for data manipulation to assist with production and quality feedback.
Train and deploy machine learning models for processing of measurement system data.
Transfer technology from early-stage development to a product suitable for use in manufacturing.
Create/update documentation for release to production for applications and procedures.
Train engineering, maintenance and operations people how to use and maintain developed applications and procedures.
Provide remote and onsite troubleshooting using data and performance analysis of the deployed applications.
Required Education:
Bachelors Degree (equivalent experience will not substitute for this requirement). Prefer MS or PhD in Data Science, Computer Engineering, Physics, EE, ECE or Optics.
Required Experience/Skills: 3-5 years experience with
Programming ability (C# & Python strongly preferred)
Understanding of Object-Oriented Programming and other software architecture concepts
Experience training CNNs and utilizing traditional machine learning methods
Data retrieval, plotting and analysis
Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology)
Strong communication and presentation skills (MS Office programs)
Desired Experience/Skills:
Experience with image processing development packages such as Halcon or OpenCV
Knowledge of statistical analysis approaches and MEE concepts
Ability to interface with Database Management Systems
Experience with Metrology, Inspection and Product Quality in support of manufacturing
Optical measurements system development (optics, lighting, cameras, image acquisition, image analysis, laser, 3D measurement)
Fundamental knowledge of physical optics (principles of optics)
Soft Skills:
Ability to interact effectively with customers & coworkers as well as work independently.
You will need to be results oriented, a quick learner and be able to multi-task effectively.
Location: Painted Post, NY 14870 (Onsite Position)
Contract: 1+ Year (Possible of extension)
Shift: 1st Shift (Monday - Friday 8 AM - 5 PM EST)
Pay Range: $50 - $55.67/Hour on W2
Interview Process: Two interviews by Teams Meeting. Manager is open to non-local candidates anywhere in the US who are willing to relocate long term to Client, NY.
Top skills:
- Bachelors and 3-5 years experience with the skills listed in the Required skills section. These are hard requirements. Candidates who possess the desired skills will be given first consideration.
Product of Position:
A contractor position within the Client Manufacturing Technology and Engineering (MT&E) organization with the purpose of contributing to building imaging systems and developing software and algorithms for processing imaging data. This work supports the inspection and production of various Client glass and ceramics products.
Day to Day Responsibilities:
Work closely with the measurements group to develop approaches for data manipulation to assist with production and quality feedback.
Train and deploy machine learning models for processing of measurement system data.
Transfer technology from early-stage development to a product suitable for use in manufacturing.
Create/update documentation for release to production for applications and procedures.
Train engineering, maintenance and operations people how to use and maintain developed applications and procedures.
Provide remote and onsite troubleshooting using data and performance analysis of the deployed applications.
Required Education:
Bachelors Degree (equivalent experience will not substitute for this requirement). Prefer MS or PhD in Data Science, Computer Engineering, Physics, EE, ECE or Optics.
Required Experience/Skills: 3-5 years experience with
Programming ability (C# & Python strongly preferred)
Understanding of Object-Oriented Programming and other software architecture concepts
Experience training CNNs and utilizing traditional machine learning methods
Data retrieval, plotting and analysis
Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology)
Strong communication and presentation skills (MS Office programs)
Desired Experience/Skills:
Experience with image processing development packages such as Halcon or OpenCV
Knowledge of statistical analysis approaches and MEE concepts
Ability to interface with Database Management Systems
Experience with Metrology, Inspection and Product Quality in support of manufacturing
Optical measurements system development (optics, lighting, cameras, image acquisition, image analysis, laser, 3D measurement)
Fundamental knowledge of physical optics (principles of optics)
Soft Skills:
Ability to interact effectively with customers & coworkers as well as work independently.
You will need to be results oriented, a quick learner and be able to multi-task effectively.
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