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Weekend Machine Vision Engineer Jobs in Washington

Automationtechies

Control Engineer

Washington, DC · On-site

$92.30K - $119.40K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Automationtechies

Control Engineer

Washington, DC · On-site

$92.30K - $119.40K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Cymertek

AI/ML Engineer

Tysons, VA · On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Cymertek

AI/ML Engineer

Reston, VA · On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Cymertek

AI/ML Engineer

Chantilly, VA · On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Cymertek

AI/ML Engineer

Chantilly, VA · On-site

... Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Artificial ...

Cymertek

AI/ML Engineer

Annapolis Junction, MD

... Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Artificial ...

Cymertek

AI/ML Engineer

Tysons, VA

... Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Artificial ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Experience with natural language processing (NLP) and computer vision. * Familiarity with big data ...

Cymertek

AI/ML Engineer

Reston, VA · On-site

... Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Artificial ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building ... Experience or demonstrated interest in Vision ML, with familiarity in common vision models and ...

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Weekend Machine Vision Engineer information

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 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 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 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 most commonly searched types of Machine Vision Engineer jobs in Washington? The most popular types of Machine Vision Engineer jobs in Washington are:
What cities in Washington are hiring for Weekend Machine Vision Engineer jobs? Cities in Washington with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you

Senior AI/ML Computer Vision Engineer (TS/SCI w/ CI Poly Require with Security Clearance

D9Tech Resources, LLC

Springfield, VA

$101.60K - $139.50K/yr

Contractor

Posted 8 days ago

Job description

Senior AI/ML Computer Vision Engineer (TS/SCI w/ CI Poly Required) We are supporting a high-impact, mission-focused program within the national security space and are seeking experienced AI/ML Engineers with strong computer vision and model evaluation backgrounds. This role involves working with large-scale data in a classified environment to support advanced machine learning and computer vision initiatives. ⚠️ Note: Active TS/SCI with CI Polygraph is required. Candidates without this clearance will not be considered. Key Responsibilities:
Develop and evaluate machine learning and computer vision models at scale
Build and refine model evaluation pipelines and performance metrics
Support development of ground truth datasets and validation workflows
Work with large-scale datasets in secure cloud environments
Collaborate with engineering and data teams to deliver production solutions Required Qualifications:
Active TS/SCI clearance with CI Polygraph (REQUIRED)
5+ years of software engineering or machine learning experience
Strong experience with Python and ML frameworks (PyTorch, TensorFlow, etc.)
Hands-on experience with computer vision model development and evaluation
Experience working with large datasets and distributed processing
Experience with AWS services (S3, EC2, Lambda, etc.) Preferred Qualifications:
Experience working with large-scale imagery or similar datasets
Familiarity with model evaluation frameworks or custom metrics pipelines
Experience with distributed processing tools (Spark, Ray, Dask)
Prior experience in classified environments
AWS certifications or advanced cloud experience

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