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Machine Learning Internship No Experience Jobs in Georgia

Coca-Cola

Manager, Machine Learning Ops

Atlanta, GA · On-site

Experience gathering,interpretingand translating business requirements. * 2+ years' experience ... No Job Posting End Date: August 14, 2026 Our Purpose and Growth Culture: We are taking deliberate ...

Dolby

Multimodal AI Researcher, Audio

Atlanta, GA · On-site

Consequently, experience with language models, question answering, vision-language models ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Asure Software

Associate Software Engineer

Atlanta, GA · On-site

... machine learning concepts through coursework, certifications, projects, hackathons, or internships ... Experience using AI-assisted development tools or cloud-based AI services. * Familiarity with ...

Asure Software Inc.

Associate Software Engineer

Atlanta, GA · On-site

$80 - $90/hr

... machine learning concepts through coursework, certifications, projects, hackathons, or internships ... Experience using AI‑assisted development tools or cloud‑based AI services. * Familiarity with ...

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Machine Learning Internship No Experience information

What is a machine learning internship with no experience?

A machine learning internship with no experience is an entry-level opportunity designed for students or individuals who are new to the field of machine learning and may not have previous professional experience. These internships typically focus on foundational skills such as data preprocessing, understanding basic algorithms, and using popular tools like Python, TensorFlow, or PyTorch. Interns are often provided with mentorship, training, and real-world projects to help them learn and apply machine learning concepts. The goal is to gain practical experience and build a portfolio, which can be helpful for future job opportunities in the field.

What types of projects or tasks are typically assigned to machine learning interns with no prior experience?

Machine learning interns with no prior experience are often assigned to support tasks such as data preprocessing, exploratory data analysis, and helping to clean or organize datasets. They may also assist with implementing, testing, or tuning basic machine learning models under the guidance of experienced team members. Interns are encouraged to participate in team meetings, contribute to code reviews, and learn about the deployment process, giving them valuable exposure to real-world workflows and collaboration within a machine learning team.

What are the key skills and qualifications needed to thrive as a machine learning intern with no prior experience, and why are they important?

To thrive as a Machine Learning Intern with no experience, you need a solid understanding of programming (especially Python), basic statistics, and foundational machine learning concepts, often demonstrated through coursework or personal projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected. Curiosity, eagerness to learn, problem-solving ability, and effective communication are standout soft skills in this position. These skills and qualities are crucial for adapting quickly, contributing to projects, and maximizing growth in a hands-on learning environment.

What is the difference between Machine Learning Internship No Experience vs Data Science Intern No Experience?

AspectMachine Learning Internship No ExperienceData Science Intern No Experience
Required CredentialsBasic programming skills, introductory knowledge of ML conceptsBasic programming skills, introductory knowledge of data analysis
Work EnvironmentTech companies, startups, research labsTech companies, consulting firms, research organizations
Employer & Industry UsagePrimarily in AI and ML-focused rolesBroader data analysis and business intelligence roles
Search & Comparison IntentUnderstanding entry-level ML roles for beginnersExploring data analysis internships for beginners

Both internships are entry-level roles requiring foundational skills in programming. Machine Learning Internships focus on developing algorithms and models, while Data Science Internships emphasize data analysis and visualization. The choice depends on your interest in AI/ML versus broader data analysis tasks.

What are popular job titles related to Machine Learning Internship No Experience jobs in Georgia?

For Machine Learning Internship No Experience jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Internship No Experience jobs in Georgia look for?

The top searched job categories for Machine Learning Internship No Experience jobs in Georgia are:

What cities in Georgia are hiring for Machine Learning Internship No Experience jobs?

Cities in Georgia with the most Machine Learning Internship No Experience job openings:

Machine Learning Internship No Experience jobs near you

Machine Learning Engineer III - AI/ML Product Engineering

4pconsultinginc

Atlanta, GA • On-site

Contractor

Posted 15 days ago

Job description

Position:         Machine Learning Engineer III – AI/ML Product Engineering

Location:        Atlanta, GA

Duration:        5 Months
Client:            Southern Company Services
 

Only W2 Candidates

Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies.

This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform.

Key Responsibilities

  • Design and build modular, reusable AI components and services.
  • Develop scalable RAG solutions using structured and unstructured data.
  • Engineer multi-agent systems for task coordination, workflow automation, and decision support.
  • Build transcription and NLP pipelines for customer-interaction analysis.
  • Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks.
  • Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks.
  • Integrate Databricks for data ingestion, feature engineering, experimentation, and model development.
  • Develop reusable libraries, APIs, templates, and engineering patterns.
  • Partner with MLOps, DevOps, data engineering, architecture, and product teams.
  • Implement monitoring for model performance, data drift, system usage, and operational reliability.
  • Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements.
  • Provide technical guidance to teams adopting shared AI products and components.

Required Qualifications

  • Strong experience developing and deploying production-grade AI and machine learning solutions.
  • Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP.
  • Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning.
  • Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain.
  • Experience deploying scalable models and AI services in cloud environments.
  • Knowledge of APIs, software engineering practices, model monitoring, and MLOps.
  • Experience working with structured and unstructured datasets.
  • Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

  • Experience with Databricks, vector databases, embeddings, and semantic search.
  • Experience building reusable enterprise AI platforms or shared AI services.
  • Knowledge of model evaluation, data drift, observability, and responsible AI.
  • Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment.
  • Utility, energy, or regulated-industry experience is preferred.