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Learning Ai Jobs in Atlanta, GA (NOW HIRING)

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... learning models for classification, regression, NLP, or computer vision tasks. • Write clean ... AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model ...

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

About The Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

Senior/Principal AI Engineer

Atlanta, GA

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

Machine Learning Lead Engineer

Atlanta, GA · On-site +1

$134K - $224K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business ...

Senior Data Scientist - AI Focus

Alpharetta, GA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

S. (Ph.D. preferred) in Computer Science, Machine Learning, AI, or related field, or equivalent experience. * Expert-level programming skills in Python (experience with AI frameworks and agent ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

  • Medical

  • Retirement

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

The ideal candidate would have a strong background in deep learning, both in terms of conceptual ... AI driven audio enhancement, processing, and generation (for speech and music), such as speech ...

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Learning Ai information

See Atlanta, GA salary details

$25

$39

$66

How much do learning ai jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for learning ai in Atlanta, GA is $39.14, according to ZipRecruiter salary data. Most workers in this role earn between $28.41 and $50.87 per hour, depending on experience, location, and employer.

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build relevant skills and demonstrate your knowledge to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

What job categories do people searching Learning Ai jobs in Atlanta, GA look for?

The top searched job categories for Learning Ai jobs in Atlanta, GA are:

Machine Learning / AI Consultant( Only W2) Onsite

Nasscomm, Inc.

Atlanta, GA • On-site

Other

Posted 2 days ago

New


Job description

 
Job Title: Machine Learning / AI Consultant 
Location: Hartford CT, Atlanta GA, St. Paul, MN (Any of the location)
Duration: 4+ Months contract
 
Job Description
• Support AI and emerging technology initiatives across business and technology teams.
• Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
• Help develop and prototype AI use cases that solve real business problems.
• Evaluate and apply foundation models, LLMs, and modern AI frameworks.
• Contribute to RAG, memory systems, tool use, and function-calling patterns.
• Support multi-agent workflows and autonomous AI capabilities.
• Assist with AI experimentation, proof-of-concepts, and solution testing.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Communicate technical AI concepts clearly to both technical and non-technical audiences.
• Promote responsible AI practices, including ethics, governance, and bias mitigation.
 
Required Skills
• Bachelor’s degree in computer science, STEM, or equivalent experience.
• Experience in AI/ML, Generative AI, or advanced analytics.
• Strong understanding of machine learning fundamentals and model evaluation.
• Hands-on exposure to LLMs, prompt engineering, fine-tuning, and multimodal AI.
• Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
• Experience with vector databases, RAG, and tool/function calling.
• Exposure to cloud AI platforms such as AWS Bedrock; Azure or Google Cloud Platform is a plus.
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
• Strong analytical, problem-solving, and communication skills.
• Ability to work well in agile, cross-functional teams.
• Hands on with Python and ReactJS
 
Mandatory Skillsets:   Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot