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Contract Computer Vision Engineer Jobs in Kentucky

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Proficiency in machine learning algorithms (classification, regression, clustering, NLP, computer vision, etc.). * Experience with data preprocessing, feature engineering, and model evaluation

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Apply Natural Language Processing (NLP) , Computer Vision , and Predictive Analytics techniques to ... Strong programming skills in Python , Java , or C# . * Hands-on experience with AI/ML frameworks ...

Gibbs Die Casting

Applications Engineer

Henderson, KY · On-site

Machining fixture detail design (CAD design Auto-Cad drawing and Inventor modeling capabilities ... Core programming and modification to existing leak test programs, vision systems, PLC controllers ...

gibbs

Machining fixture detail design (CAD design Auto-Cad drawing and Inventor modeling capabilities ... Core programming and modification to existing leak test programs, vision systems, PLC controllers ...

Varsity Tutors

Computer Programming Tutor

Lexington, KY · Remote

$40/hr

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

EnerSys

Contracts Specialist

Eastwood, KY

Comprehensive Benefits - Medical, dental, and vision coverage for employees and dependents at a ... Work with corporate resources to manage Contract, ITAR, Cybersecurity Maturity Model Certification ...

University of Kentucky

AI Developer Lead

Lexington, KY · On-site

$81.64K - $138.80K/yr

Posting Details Posting Details Job Title AI Developer Lead Requisition Number RE54015 Working ... computer vision. Deadline to Apply 06/04/2026 Our University Community We value the well-being of ...

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Contract Computer Vision Engineer information

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

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 are Contract Computer Vision Engineers?

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 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:
Contract Computer Vision Engineer jobs near you

AI Engineer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

Posted 9 days ago

Job description

Overview:
****************LOCAL PREFERRED***********************
Minimum 10+ Years
We are seeking a highly skilled AI Engineer to design, develop, and deploy artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in ML/AI algorithms, data processing, and production-level deployment of AI systems, with a focus on building scalable, secure, and efficient applications.
Key Responsibilities:
  • Design and implement machine learning models, deep learning architectures, and AI-driven solutions.
  • Build and maintain data pipelines for model training, testing, and deployment.
  • Develop scalable AI/ML services using cloud platforms (AWS, Azure, GCP).
  • Collaborate with data scientists, engineers, and product teams to integrate AI models into applications.
  • Optimize models for performance, scalability, and cost-effectiveness.
  • Research and experiment with the latest AI/ML techniques and frameworks.
  • Monitor AI systems in production, ensuring reliability and fairness.
  • Document processes, models, and architectures for knowledge sharing.

Required Skills:
  • Strong programming skills in Python (preferred), with experience in libraries such as TensorFlow, PyTorch, Scikit-learn.
  • Proficiency in machine learning algorithms (classification, regression, clustering, NLP, computer vision, etc.).
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Knowledge of APIs and integration of AI solutions into production systems.

Preferred Qualifications:
  • Advanced degree (Master's/PhD) in Computer Science, AI, Data Science, or related field.
  • Experience in Natural Language Processing (NLP), Computer Vision, or Generative AI (LLMs, Transformers).
  • Exposure to big data technologies (Spark, Hadoop).
  • Familiarity with model explainability, bias detection, and ethical AI practices.
  • Experience with CI/CD pipelines for ML models (MLOps).

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