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Contract Computer Vision Engineer Jobs in Kentucky

$125 - $150/hr

C++, Computer Vision, PyTorch, Tensor Country: United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems ...

$150 - $200/hr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

$150 - $200/hr

Role Title Computer Vision & Analytics Engineer Team Security Technology, GSIS (Global Safety, Intelligence & Security) Location Remote friendly / onsite, with travel as needed Reports To Security ...

$150 - $200/hr

Join the team building computer vision applications for the construction trades. Contractors spend ... We're looking for strong CV/ML engineers with good product judgment who are comfortable both ...

$250/hr

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

$150 - $200/hr

Simbe is looking for a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence. This role will work across dense product ...

$150 - $200/hr

Job Area Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary Qualcomm's computer vision system design Group is seeking candidates for its Mobile Computer Vision and ...

$150 - $200/hr

Coach and mentor other computer vision scientists/engineers * Present your work to customers, collaborators, and the research community through papers, reports, and demonstrations * Generate ...

$150 - $200/hr

Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem ...

$150 - $200/hr

Edge Computer Vision Engineer for Drones! - Company: Rownd (Rownd.ai / arcedge.ai) - Position Type: Full-time - Compensation: Competitive (Salary + Equity, DOE) - Location: Hybrid-remote (Strong ...

$200 - $250/hr

Senior Software Engineer - ML InfrastructureLocationEmployment Type Full time Location Type On-site ... You'll own the end-to-end lifecycle of computer vision models -- from training pipelines through ...

$200 - $250/hr

... computer vision and machine learning (CVML). As a research scientist at Axon you will play a ... You will collaborate with product managers, engineers and cross-functional teams to train models ...

$250/hr

As a System Software Engineer for Vision AI, you will develop and optimize high‑performance ... Strong computer science fundamentals, including algorithms, data structures, concurrency, and ...

$150 - $200/hr

In close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale ...

$150 - $200/hr

Experience with computer vision. * Knowledge of regulatory requirements and data privacy ... This document does not create an employment contract, implied or otherwise, other than an "at will ...

$200 - $250/hr

Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads to bring cutting-edge technologies to the team and drive new product innovation.

$200 - $250/hr

Collaborate cross-functionally with software engineers, computer vision engineers, data scientists, and product leads to bring cutting-edge technologies to the team and drive new product innovation.

$200 - $250/hr

Machine Learning Video Processing Engineer Cupertino, California, United States Hardware Imagine ... Project experience on low level computer vision algorithms such as spatial/temporal filtering ...

$150 - $200/hr

Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow's machine learning open source and hosted tools.

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Contract Computer Vision Engineer information

What is a contract computer vision engineer?

Contract Computer Vision Engineers are professionals who specialize in developing and implementing computer vision algorithms and systems on a contract or freelance basis, rather than as full-time employees. They use their expertise in machine learning, image processing, and software engineering to help organizations solve problems involving visual data, such as object detection, image classification, and facial recognition. These engineers typically work on short- or medium-term projects, providing specialized skills and flexibility to companies that need computer vision solutions without hiring permanent staff.

What are the key skills and qualifications needed to thrive as a contract computer vision engineer?

To thrive as a Contract Computer Vision Engineer, you need strong programming skills in Python or C++, a solid understanding of machine learning algorithms, and a background in computer vision concepts, often supported by a relevant degree. Familiarity with tools like OpenCV, TensorFlow, PyTorch, and experience with cloud platforms or version control systems is typically required. Excellent problem-solving abilities, adaptability, and clear communication help you collaborate well with clients and teams on diverse projects. These skills are crucial to efficiently deliver high-quality, innovative computer vision solutions that meet client requirements on time.

What are some common challenges a contract computer vision engineer might face when integrating CV solutions into existing client systems?

As a Contract Computer Vision Engineer, you'll often encounter the challenge of integrating your models and algorithms with a client's existing infrastructure, which may use outdated or unfamiliar technologies. Ensuring compatibility, optimizing performance for specific hardware, and addressing data privacy concerns are frequent hurdles. Additionally, since contract roles are typically project-based, you may need to quickly adapt to new codebases and collaborate with multidisciplinary teams to align your solutions with broader business objectives. Clear communication and documentation are crucial to ensure smooth handover and long-term maintainability.

What is the difference between Contract Computer Vision Engineer vs Contract Machine Learning Engineer?

AspectContract Computer Vision EngineerContract Machine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in CV frameworksBachelor's or Master's in CS, experience in ML frameworks
Work EnvironmentTech companies, startups, research labsTech companies, startups, research labs
Employer & Industry UsageUsed in image/video analysis, autonomous vehicles, roboticsUsed in predictive modeling, data analysis, AI applications

Contract Computer Vision Engineers focus on developing algorithms for image and video processing, while Contract Machine Learning Engineers work on broader AI models. Both roles often share similar credentials and work environments but differ in their specific technical focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Kentucky?

The most popular types of Computer Vision Engineer jobs in Kentucky are:

What are popular job titles related to Contract Computer Vision Engineer jobs in Kentucky?

For Contract Computer Vision Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Contract Computer Vision Engineer jobs in Kentucky look for?

The top searched job categories for Contract Computer Vision Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Contract Computer Vision Engineer jobs?

Cities in Kentucky with the most Contract Computer Vision Engineer job openings:

Computer Vision Engineer

On-site

Augusta Hitech
IT Services • 51 - 200 employees

$125 - $150/hr

Other

Posted 8 days ago


Key responsibilities

  • Design, develop, and deploy real-time defect detection systems for industrial automation pipelines.

  • Integrate high-speed cameras, industrial PCs, and PLCs to capture, process, and label data at high throughput.

  • Implement object detection and image classification algorithms to identify micro-defects on production lines.


Job description

Required Skills: C++, Computer Vision, PyTorch, Tensor

Country: United States

Role Summary

We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems for our industrial automation pipelines. In this role, you will bridge the gap between advanced machine learning models and physical manufacturing hardware. You will be responsible for integrating high-speed cameras, Industrial PCs (IPCs), and Programmable Logic Controllers (PLCs) to capture, process, and label data at high throughput, ensuring zero-defect quality control on the production floor.

Key Responsibilities

Design and implement robust object detection and image classification algorithms specifically tuned for identifying micro-defects on fast-moving production lines.

Integrate and calibrate high-speed industrial cameras, specialized lighting, and optical setups to ensure optimal image quality for the vision models.

Establish low-latency communication pipelines between the computer vision systems and PLCs to trigger physical sorting or rejection mechanisms in real-time.

Optimize deep learning models for edge deployment using hardware acceleration to meet strict cycle-time requirements.

Develop and maintain automated data collection and labeling pipelines to continuously feed and improve the accuracy of the defect detection models.

Troubleshoot system performance on the manufacturing floor, addressing issues related to camera triggering, lighting fluctuations, and model drift.

Required Programming Languages

C++: Essential for writing highly optimized, multithreaded applications necessary for real-time, low-latency image processing and inferencing on the edge.

Python: Required for rapidly prototyping, training, testing, and refining deep learning models, as well as managing the data processing and labeling scripts.

Structured Text / Ladder Logic (Familiarity): While not strictly required to be an expert, a working knowledge of IEC 61131-3 PLC programming languages is crucial for effectively communicating and designing handshakes with automation engineers.

Required Experience & Technical Skills

High-Speed Imaging Hardware: Proven hands-on experience with industrial camera interfaces (GigE Vision, CoaXPress, Camera Link), frame grabbers, and industrial optics.

Industrial Communication Protocols: Experience seamlessly passing data between Windows/Linux edge computers and PLCs using protocols like OPC UA, Modbus TCP/IP, Ethernet/IP, or PROFINET.

Computer Vision & Deep Learning Frameworks: Deep practical knowledge of traditional computer vision (OpenCV) alongside modern deep learning frameworks (PyTorch, TensorFlow) and architectures suited for fast inference (e.g., YOLO variants).

Hardware Acceleration & Edge AI: Proven ability to deploy models onto industrial hardware (NVIDIA Jetson, x86 IPCs) using optimization toolkits like TensorRT or OpenVINO to maximize frame rates.

Real-Time System Design: Experience dealing with the complexities of concurrent processing, memory management, and preventing frame drops in continuous, 24/7 manufacturing environments.

Data Pipeline Management: Familiarity with tools and best practices for versioning datasets, managing synthetic data generation, and coordinating efficient image labeling workflows for quality control.

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