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No Experience Machine Learning Jobs in Stockbridge, GA

Varsity Tutors

Machine Learning Tutor

Marietta, GA · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Varsity Tutors

Machine Learning Tutor

Atlanta, GA · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Crowe LLP

Machine Learning Intern

Atlanta, GA

$27 - $42/hr

Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package.

Crowe LLP

Machine Learning Engineer

Atlanta, GA

$62K - $100K/yr

Experience in fine-tuning large language models (LLMs). * Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it ...

Dolby

Sr Researcher - Experience Delivery

Atlanta, GA · On-site

Develop tools and frameworks to enable scalable development of machine learning models and data ... Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data ...

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How much do no experience machine learning jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for no experience machine learning in Stockbridge, GA is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.73 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

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No Experience Machine Learning jobs near you

Machine Learning Engineer III 4P/791

Atlanta, GA

4P Consulting Inc.
Industrial Automation Equipment Manufacturing • 1 - 10 employees
Learn more about 4P Consulting Inc.external

Contractor

Re-posted yesterday

Job description

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

Location:        Atlanta, GA

Duration:        5 Months
Client:            Southern Company Services

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.