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Generative Ai Engineer Intern Jobs in Georgia (NOW HIRING)

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Generative AI and Large Language Models * Prompt engineering and prompt optimization * LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI evaluation ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

AI Engineer

Atlanta, GA

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

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Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

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Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems ... Collaborate with data scientists, product managers, and engineers to translate business ...

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions ... Engineer prompts and contextual workflows to improve LLM response quality and relevance.

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes. Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and ...

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Generative Ai Engineer Intern information

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What skills and qualifications are needed to thrive as a generative AI engineer intern?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

What is the difference between Generative Ai Engineer Intern vs Machine Learning Engineer Intern?

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

What are the most commonly searched types of Generative Ai Engineer jobs in Georgia?

The most popular types of Generative Ai Engineer jobs in Georgia are:

What are popular job titles related to Generative Ai Engineer Intern jobs in Georgia?

For Generative Ai Engineer Intern jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Intern jobs in Georgia look for?

The top searched job categories for Generative Ai Engineer Intern jobs in Georgia are:

What cities in Georgia are hiring for Generative Ai Engineer Intern jobs?

Cities in Georgia with the most Generative Ai Engineer Intern job openings:

Generative AI Engineer

Alpharetta, GA • On-site

Info Way Solutions
IT Services • 51 - 200 employees

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Info Way Solutions is seeking a Generative AI Engineer to join their AI/ML team and build cutting-edge generative models and applications. The role involves designing, building, evaluating, and deploying systems for various AI tasks, including text and image generation, while collaborating with research and product teams.
Responsibilities:
• Design and build scalable and production-grade generative AI systems.
• Develop, fine-tune, and evaluate LLMs
• Integrate LLMs with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Work with prompt engineering and prompt optimization for various applications.
• Build and maintain APIs and backends for generative AI applications.
• Collaborate with research and product teams to bring prototypes to production.
Qualifications:
Required:
• Experience in designing and building scalable and production-grade generative AI systems.
• Proficiency in developing, fine-tuning, and evaluating LLMs.
• Experience integrating LLMs with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Knowledge of prompt engineering and prompt optimization for various applications.
• Ability to build and maintain APIs and backends for generative AI applications.
• Experience collaborating with research and product teams to bring prototypes to production.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.