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Ai Engineer Remote Internship Jobs in Georgia (NOW HIRING)

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

  • Medical

  • Retirement

  • PTO

The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at ...

Crowe LLP

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

  • PTO

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. About the Role Role Overview: The Senior AI Engineer 1 (Senior ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · Remote

ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Tier4 Group

Applied AI Engineer 5425

Atlanta, GA · Remote

Applied AI Engineer 5425 3-Month Contract-to-Hire Fully Remote in EST possibly with some travel (5-10%) U.S. Citizens and Green Card holders only Why This Opportunity? This is a chance to become the ...

Quora

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Exadel

  • Medical

We are looking for a Senior Full-Stack AI Engineer to join our team. In this role, you will take ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

Exadel

  • Medical

We are looking for a Senior Full-Stack AI Engineer to join our team. In this role, you will take ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

Exadel Inc (Website)

  • Medical

We are looking for a Senior Full-Stack AI Engineer to join our team. In this role, you will take ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

VetsEZ

Senior DevOps Engineer (Remote Opportunity)

Atlanta, GA · On-site +1

$125K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leverage AI-powered development tools to accelerate engineering activities, automate routine tasks ... Remote Opportunity Note: Selected candidates will be required to complete fingerprinting at a ...

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Ai Engineer Remote Internship information

What is an AI Engineer remote internship?

An AI Engineer Remote Internship is a temporary, often entry-level position that allows students or recent graduates to gain practical experience working with artificial intelligence technologies while working remotely. Interns typically assist in developing, testing, and deploying machine learning models, as well as collaborating with teams on data analysis and AI-based solutions. Remote internships provide flexibility, allowing interns to work from any location while still gaining valuable industry experience and networking opportunities.

What are the key skills and qualifications needed to thrive as an AI Engineer remote intern?

To thrive as an AI Engineer Remote Intern, you need a solid foundation in computer science, machine learning principles, and programming languages like Python, often demonstrated through relevant coursework or projects. Familiarity with tools such as TensorFlow, PyTorch, version control systems (e.g., Git), and cloud platforms like AWS or Google Cloud is typically expected. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These abilities enable interns to contribute meaningfully to AI projects, learn quickly, and collaborate efficiently despite the challenges of remote work.

How does an AI Engineer remote internship typically structure mentorship and collaboration given the virtual work environment?

Remote AI Engineer internships often use a combination of regular video check-ins, code reviews, and collaborative tools like GitHub and Slack to facilitate mentorship and teamwork. Interns are usually paired with a dedicated mentor or participate in a small project team, ensuring ongoing support and feedback despite the physical distance. Effective communication and proactive engagement are crucial, as interns may need to reach out regularly for guidance and share progress updates. This structure helps interns gain hands-on experience, develop problem-solving skills, and build professional relationships in a remote setting.

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Ai Engineer Remote Internship jobs near you

Senior AI Engineer (Remote)

Home Depot

Atlanta, GA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,432 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.
This role involves developing scalable applications powered by LLMs, SLMs, Retrieval-Augmented Generation (RAG) frameworks, and autonomous agents. You will build the core orchestration layers for multi-agent workflows, tool integration, and planning, alongside the infrastructure required for reliable, large-scale cloud deployment. By partnering with product, engineering, and business teams, you will rapidly prototype solutions, navigate ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production.
Required skills
  • Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices.
  • AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
  • AI Foundations: Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
  • Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with enterprise platforms, APIs, and business systems.
  • Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (e.g., Terraform), andAI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle.
  • AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, implementing progressive rollout strategies (canary, blue-green, and shadow deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, distributed tracing, and automated alerting) across models, agents, and orchestration layers to ensure production reliability, performance, and cost/token efficiency at scale.
  • Optimization & Debugging: Demonstrated ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, as well as debugging operational failure modes.
  • Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in complex enterprise environments.

Key Responsibilities:
  • 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
  • 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Direct Manager/Direct Reports:
  • This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
  • This Position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
  • AI Infrastructure & Platform Tooling: Hands-on experience with infrastructure-as-code (e.g., Terraform), Kubernetes/GKE for container orchestration, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale.
  • Full-stack skills: Node.js/React/REST, API design, performance optimization, Linux, Git, modern deployment toolchain.
  • Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
  • Guardrails & Reliability: Knowledge and experience in establishing Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails.
  • Leadership & Innovation: A proven track record of driving innovation, delivering measurable business impact, mentoring engineering teams, and establishing AI engineering standards and best practices.
  • Master's or bachelor's in computer science, Artificial Intelligence, Machine Learning, or a related technical discipline.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $100,000.00 - $250,000.00

What Home Depot employees say

Pay

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Hours and flexibility

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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