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Intern Computer Vision Deep Learning Engineer Jobs in Kentucky

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

Design and implement machine learning models , deep learning architectures, and AI-driven solutions ... learning algorithms (classification, regression, clustering, NLP, computer vision, etc.

Xometry

Senior Machine Learning Engineer

Lexington, KY

$91K - $125K/yr

... and applying models at scale using deep learning frameworks like PyTorch or Tensorflow ... An engineer with a self-driven attitude who can own problems and deliver solutions * Strong ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Kentucky

Intern Computer Vision Deep Learning Engineer information

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

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

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

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
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Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Kentucky as of June 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Applied engineer Artificial Intelligence(AI)

Purple Drive Technologies

Louisville, KY • On-site

$110K - $132K/yr

Full-time

Posted 18 days ago

Job description

Overview:
Job Description:
We are seeking a highly skilled Applied Engineer in Artificial Intelligence (AI) to design, develop, and implement AI-driven solutions that solve complex business challenges. The ideal candidate will have strong hands-on experience with AI/ML frameworks, data engineering, and model deployment, along with the ability to collaborate across digital transformation initiatives.
Key Responsibilities:
  • Design, build, and deploy AI/ML models and solutions for enterprise digital transformation projects.
  • Apply advanced machine learning, natural language processing (NLP), computer vision, and generative AI techniques to real-world business use cases.
  • Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and platforms.
  • Develop data pipelines, preprocessing workflows, and ensure data quality for AI/ML models.
  • Optimize model performance, scalability, and reliability in production environments.
  • Evaluate and implement state-of-the-art AI research into practical solutions.
  • Work with cloud AI services (AWS, Azure, GCP) to deploy and manage AI workloads.
  • Ensure compliance with enterprise AI governance, security, and ethical guidelines.
  • Document processes, create reusable assets, and provide knowledge transfer to teams.

Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
  • Proven hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python, R, or Java, with experience in ML/AI libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience with NLP, computer vision, deep learning, or generative AI models.
  • Knowledge of cloud-based AI platforms (AWS SageMaker, Azure AI, Google AI/Vertex AI).
  • Solid understanding of data engineering, feature engineering, and MLOps practices.
  • Strong problem-solving, analytical thinking, and communication skills.

Preferred Skills:
  • Familiarity with reinforcement learning, LLMs (Large Language Models), and transformer-based architectures.
  • Experience with AI solution integration into digital platforms (ERP, CRM, customer experience systems).
  • Certifications in AI/ML, cloud AI services, or related technologies.

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