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Internship Computer Vision Engineer Jobs in Kentucky

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

Essential Duties * Specify and create CAD drawings for custom-fabricated assemblies and ... Prior work or internship experience working with plastics and/or in a manufacturing environment ...

Essential Duties * Specify and create CAD drawings for custom-fabricated assemblies and ... Prior work or internship experience working with plastics and/or in a manufacturing environment ...

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 ...

... engineer or related internships * Computer skills: proficiency using Word, Excel, Outlook, and Microsoft Project What You'll Do * Responsible for managerial and administrative aspects of a project.

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

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 ...

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Internship Computer Vision Engineer information

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

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

What types of projects and responsibilities can I expect as an Internship Computer Vision Engineer?

As an Internship Computer Vision Engineer, you’ll typically work on tasks such as developing and testing algorithms for image and video analysis, assisting in dataset preparation and annotation, and supporting the implementation of computer vision models. You may also help evaluate model performance and collaborate closely with senior engineers or researchers to integrate solutions into real-world applications. Interns often participate in team meetings, present their findings, and receive mentorship, which provides a valuable learning environment and exposure to the latest industry tools and practices.

What does an Internship Computer Vision Engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.
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 Internship Computer Vision Engineer jobs in Kentucky? For Internship Computer Vision Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision Engineer jobs in Kentucky look for? The top searched job categories for Internship Computer Vision Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Internship Computer Vision Engineer jobs? Cities in Kentucky with the most Internship Computer Vision Engineer job openings:

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).