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Intern Computer Vision Deep Learning Engineer Jobs in Georgia

Purple Drive

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI ... Bachelor degree in computer scienceEngineering, or related field.Strong Hands on Experience on ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks ... Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... engineers, and product teams • Optimize model accuracy, scalability, and performance • Implement deep learning, NLP, and computer vision solutions where required • Monitor, retrain, and improve ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... Computer Science, Statistics, Mathematics, Engineering, or Data Science. · Academic/industry ... deep learning algorithms and statistical models, including supervised and unsupervised learning ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... Computer Science, Statistics, Mathematics, Engineering, or Data Science. • Academic/industry ... deep learning algorithms and statistical models, including supervised and unsupervised learning ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... Computer Science, Statistics, Mathematics, Engineering, or Data Science. • Academic/industry ... deep learning algorithms and statistical models, including supervised and unsupervised learning ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... Computer Science, Statistics, Mathematics, Engineering, or Data Science. · Academic/industry ... deep learning algorithms and statistical models, including supervised and unsupervised learning ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

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

Intern Computer Vision Deep Learning Engineer information

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?

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.

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 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 are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Georgia?

The most popular types of Computer Vision Deep Learning Engineer jobs in Georgia are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Georgia?

For Intern Computer Vision Deep Learning Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Georgia look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Georgia are:

Intern Computer Vision Deep Learning Engineer jobs near you

AI/ML Engineer

Atlanta, GA • On-site

Purple Drive
See more jobs at Purple Driveexternal

$110K - $132K/yr

Contractor

Re-posted 5 days ago

Job description

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop scalable and production-ready AI solutions.Key Responsibilities:Develop & Optimize AI/ML Solutions: Build and deploy LLMs, RAG, Agentic AI,and GenAI applications.ML Pipeline Development: Implement and automate scalable ML pipelines usingMLflow, AWS SageMaker, Databricks, and PySpark.MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring,and automated retraining.Cloud &: Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock,Lambda, Step Functions, ECS/EKS) for scalable AI solutions.Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines,and distributed data processing.LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vectordatabases (FAISS, Pinecone, ChromaDB).NLP & Deep Learning: Work with transformers, embeddings, multi-modal AImodels, and text processing frameworks. Orchestration & Containerization:Deploy and manage AI workloads using Kubernetes (EKS), Docker, and CI/CDpipelineSenior Data Engineer with special emphasis and experience of 10 to 15 yearson Artificial Intelligence and Machine Learning. Bachelor degree in computer scienceEngineering, or related field.Strong Hands on Experience on Python coding and all the python libraries. Manageand direct processes and R&D (research and development) to meet the needsof our AI strategy. Understand company and client challenges and how integrating AIcapabilities can help lead to solutions. As a Machine Learning Engineer, you will playa crucial role in the development and implementation of cutting-edge artificialintelligence products.No of Experience:10+ years' experience.