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Internship Machine Vision Engineer Jobs in Connecticut

Intellectt INC

Validation Engineer

North Haven, CT · On-site

Troubleshoot complex automated systems including robotics, motion control, and machine vision ... engineering/validation experience (8+ with Master's) * Strong expertise in medical device process ...

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Internship Machine Vision Engineer information

What types of projects do Internship Machine Vision Engineers typically work on, and how do they collaborate within the team?

As an Internship Machine Vision Engineer, you will often be involved in projects that focus on developing and testing computer vision algorithms, working with image processing tools, and supporting the integration of machine vision systems into larger automation solutions. You’ll collaborate closely with senior engineers, software developers, and sometimes hardware teams to validate solutions and troubleshoot issues. Regular meetings, code reviews, and shared project management tools help ensure smooth communication and learning opportunities, fostering both technical growth and teamwork.

What are the key skills and qualifications needed to thrive as an Internship Machine Vision Engineer, and why are they important?

To thrive as an Internship Machine Vision Engineer, you generally need a background in computer science, electrical engineering, or a related field, with foundational knowledge in image processing and computer vision algorithms. Familiarity with programming languages such as Python or C++, experience with tools like OpenCV, and exposure to machine learning frameworks are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are the soft skills that set outstanding candidates apart. These competencies are crucial for efficiently developing, testing, and deploying vision solutions that address real-world automation and inspection challenges.

What does an Internship Machine Vision Engineer do?

An Internship Machine Vision Engineer assists in developing and implementing computer vision algorithms to enable machines or robots to interpret visual data. Their tasks often include image processing, object detection, camera calibration, and working with various sensors. Interns typically support senior engineers in testing, data collection, and model optimization, gaining hands-on experience with real-world applications. This role offers valuable exposure to fields like automation, robotics, and artificial intelligence, helping interns build a foundation for a career in machine vision.
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What job categories do people searching Internship Machine Vision Engineer jobs in Connecticut look for? The top searched job categories for Internship Machine Vision Engineer jobs in Connecticut are:
Internship Machine Vision Engineer jobs near you
Validation Engineer

Validation Engineer

Intellectt INC

North Haven, CT • On-site

Contractor

Posted 13 days ago

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Job description

Hello, 

I Hope you are doing great.  
This is Sonali Roy from Intellectt INC; we’ve got an important Validation Engineer Support - North Haven, CT with one of our prestigious clients. Interested candidates can please
send your updated resume at sonali@intellectt.com

Job Title: Validation Engineer Support
Location: North Haven, CT

Job Description:
We are seeking an experienced Validation Engineer Support professional to oversee and optimize complex manufacturing processes for surgical devices in a high-volume production environment. This role involves leading validation activities, troubleshooting advanced electro-mechanical systems, and driving continuous improvement initiatives to ensure product quality and operational efficiency.

Key Responsibilities:

  • Lead and execute equipment and process validations (IQ/OQ/PQ) for new and existing systems
  • Troubleshoot complex automated systems including robotics, motion control, and machine vision
  • Drive root cause analysis and implement corrective actions for equipment and process issues
  • Lead NCMR and CAPA investigations to ensure compliance with quality standards
  • Apply Lean principles to improve process efficiency and reduce waste
  • Support equipment adaptation and optimization for manufacturing environments
  • Perform statistical analysis including process capability, DOE, and process control
  • Ensure component qualification through PPAP requirements

Required Qualifications:

  • Bachelor’s degree in Electrical, Automation, Controls, Mechatronics, or related field
  • 10+ years of manufacturing engineering/validation experience (8+ with Master’s)
  • Strong expertise in medical device process validation (IQ/OQ/PQ)
  • Experience with statistical tools such as Minitab
  • Hands-on experience with high-volume manufacturing assembly processes
  • Strong troubleshooting skills in automation, robotics, and vision systems
  • Solid understanding of PPAP and quality systems
 

Thanks & Regards,
Sonali Roy
Talent Acquistion Specialist
Intellectt Inc 
sonali@intellectt.com
Desk number: 732-979-2751*580