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Weekend Machine Vision Engineer Jobs in Louisiana

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

GXO Logistics

Packaging Machine Operator

Port Allen, LA · On-site

$16.75 - $22/hr

Weekend Rotation Shift, Monday - Tuesday. 5:15am - 5:30pm, 2nd Rotation Friday - Sunday 5:15pm - 5 ... vision), 401(k), life insurance, disability and more. What you'll do on a typical day: * Set up and ...

GXO Logistics

Packaging Machine Operator

Port Allen, LA · On-site

$16.75 - $22/hr

Weekend Rotation Shift, Monday - Tuesday. 5:15am - 5:30pm, 2nd Rotation Friday - Sunday 5:15pm - 5 ... vision), 401(k), life insurance, disability and more. What you'll do on a typical day: * Set up and ...

GXO Logistics

Packaging Machine Operator

Port Allen, LA · On-site

$16.75 - $22/hr

Weekend Rotation Shift, Monday - Tuesday. 5:15am - 5:30pm, 2nd Rotation Friday - Sunday 5:15pm - 5 ... vision), 401(k), life insurance, disability and more. What you'll do on a typical day: * Set up and ...

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All JobsMachine Vision Engineer JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in Louisiana

Weekend Machine Vision Engineer information

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

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

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What are the most commonly searched types of Machine Vision Engineer jobs in Louisiana? The most popular types of Machine Vision Engineer jobs in Louisiana are:
Weekend Machine Vision Engineer jobs near you
Industrial AI Robotics Engineer

Industrial AI Robotics Engineer

OneSource Professional Search

Kenner, LA • On-site

Full-time

Posted 4 days ago

Job description

We're supporting a well-established industrial manufacturing company with a search for an Industrial AI Vision Robotics Engineer to help develop next-generation AI-powered vision systems and robotic automation solutions. This is an opportunity to work on cutting-edge applications that combine artificial intelligence, computer vision, robotics, and industrial automation to improve manufacturing processes through advanced machine learning and edge computing technologies.
What You'll Do
  • Develop AI-powered computer vision systems for object identification, classification, tracking, and robotic automation.
  • Design, train, and optimize machine learning models for real-world industrial applications.
  • Deploy edge AI solutions using NVIDIA hardware platforms, including Jetson devices and CUDA-enabled GPUs.
  • Integrate vision systems with robotic arms, conveyors, sensors, and automated equipment.
  • Support image acquisition, camera calibration, dataset development, testing, validation, and performance optimization.
  • Collaborate with mechanical, electrical, software, and manufacturing teams to bring new automation technologies from concept through implementation.
  • Troubleshoot and improve AI and robotic systems to maximize reliability, accuracy, and throughput.
  • Stay current with emerging technologies in AI, robotics, computer vision, and industrial automation.

Qualifications
  • Bachelor's degree in Robotics Engineering, Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, or a related technical field.
  • 3-5 years of experience in AI, robotics, machine vision, automation, or a related engineering discipline.
  • Experience with machine learning frameworks (such as ROS/ROS2) and programming in Python and/or C++.
  • Hands-on experience with NVIDIA Jetson, CUDA, TensorRT, or similar AI acceleration technologies.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work collaboratively in a fast-paced engineering environment.

Why Join?
  • Opportunity to develop innovative AI and robotic automation technologies with real-world impact.
  • Work alongside multidisciplinary engineering teams on new product development and emerging technologies.
  • Stable, growing manufacturing organization with a strong commitment to engineering innovation.

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.

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