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Weekend Machine Vision Engineer Jobs in Arizona (NOW HIRING)

Automation Controls Engineer

Chandler, AZ ยท On-site

$82K - $109K/yr

Join the largest automation system developer in the Southwest and be part of a team that ... Machine Vision Systems : Develop and integrate advanced machine vision solutions using Keyence ...

This role provides specialized technical expertise in PLC programming, robotics integration, machine vision systems, motion controls, industrial networking, and automated manufacturing equipment.

Controls Engineer

Tempe, AZ

$81K - $105K/yr

This role leads the development of control solutions that may include PLC programming, PC programming (.NET), HMI design, robot programming, machine vision, and industrial communication networks. The ...

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

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Showing results 1-20

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 Arizona? The most popular types of Machine Vision Engineer jobs in Arizona are:
What cities in Arizona are hiring for Weekend Machine Vision Engineer jobs? Cities in Arizona with the most Weekend Machine Vision Engineer job openings:
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Phoenix, AZ โ€ข On-site, Remote

$110K/yr

Other

Posted 12 days ago


Job description

AI/ML Computer Vision Engineer

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.

In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.

This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities Include:
  • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
  • Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
  • Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
  • Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
  • Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
  • Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
  • Collaborate with software engineers and MLOps teams to integrate models into production environments.
  • Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
  • Create technical documentation, experiment reports, and performance assessments.
  • Support technical reviews, customer briefings, and cross-functional engineering efforts.
Requirements
  • U.S. Citizenship
  • Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
  • Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Experience training and evaluating machine learning models using large datasets.
  • Experience developing and training computer vision models using deep learning techniques.
  • Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
  • Experience with model tuning, hyperparameter optimization, and performance evaluation.
  • Strong understanding of computer vision fundamentals and image analysis techniques.
  • Ability to improve model accuracy, robustness, and operational performance.
  • Familiarity with software engineering best practices, Git, and collaborative development workflows.
Preferred Skills or Experience:
  • Experience with generative AI technologies, including diffusion models and image generation systems.
  • Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
  • Experience with object tracking, multi-object tracking, or video analytics.
  • Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
  • Familiarity with reinforcement learning or autonomous systems.
  • Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
  • Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
  • Experience supporting defense, intelligence, aerospace, or other mission-critical programs.

At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.

We offer:

  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission systems.

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.