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Junior Machine Learning Engineer Jobs in Cumming, GA

Metas Solutions

AI/Machine Learning Engineer

Atlanta, GA · On-site

$150 - $200/hr

Bachelor's degree in technology, Engineering, or Computer Science. * 8+ years of experience designing, developing, and deploying machine learning models * 8+ years of experience with Generative AI ...

Speria

Machine Learning Operations Engineer

Atlanta, GA · On-site

$150 - $200/hr

The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that models and decisioning systems are production-ready, observable, cost-efficient, and seamlessly ...

Patientco

Senior Machine Learning Engineer I

Atlanta, GA · On-site

$117K - $155K/yr

D. preferred. * 5+ years of professional experience in machine learning engineering, with a strong track record of deploying and maintaining ML models in production environments. * Expertise in ...

YO AI Labs

Machine Learning Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Waystar

Senior Machine Learning Engineer I

Atlanta, GA · On-site

$117K - $155K/yr

D. preferred. * 5+ years of professional experience in machine learning engineering, with a strong track record of deploying and maintaining ML models in production environments. * Expertise in ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Deploy machine learning models and ensure their effective integration into existing systems ... Experience mentoring junior colleagues and interns.

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Cumming, GA

Junior Machine Learning Engineer information

See Cumming, GA salary details

$29.9K

$64K

$97.7K

How much do junior machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for junior machine learning engineer in Cumming, GA is $64,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $71,400.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
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Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Cumming, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $64,050 per year, or $30.8 per hour.

AI/Machine Learning Engineer

Metas Solutions

Atlanta, GA • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

About Us:

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "immediate opening"\ for a strategic AI-ML Engineer technical lead supporting the modernization of public health platforms through the design, development, and deployment of advanced AI capabilities. This position integrates cutting‑edge technologies-including AI agents, retrieval‑augmented generation (RAG), and large language models (LLMs)-to enable dynamic interaction with structured and unstructured public health data, drive real-time insights, and strengthen decision-making across mission-critical environments.

This position is responsible for architecting and optimizing AI systems, including data modeling for AI agents, memory and state management, RAG pipeline construction, and performance tuning of retrieval processes tailored to public health use cases. The role develops and implements rigorous AI evaluation strategies to ensure high-quality, trustworthy outputs and scalable performance across deployed solutions. This position is located in Atlanta, GA and will require on‑site support.

Responsibilities:
  • Integrate cutting‑edge AI technologies-including AI agents-to enhance platform functionality, enable dynamic data interaction, and support real‑time insights and decision-making.
  • Develop and implement rigorous AI evaluation strategies to ensure reliability, performance, and continuous improvement across deployed AI solutions.
  • Lead the design of foundational system architecture, including data modeling for AI agents, memory and state management, and construction and optimization of RAG pipelines.
  • Drive performance optimization of retrieval workflows for public health use cases while defining and upholding strict data quality, curation, and documentation standards in collaboration with cross‑functional AI teams.
  • Maintain adherence to privacy requirements, anonymization protocols, and ethical guidelines essential to responsible public health data management.
Qualifications:
  • Bachelor's degree in technology, Engineering, or Computer Science.
  • 8+ years of experience designing, developing, and deploying machine learning models
  • 8+ years of experience with Generative AI, LLMs, or RAG applications
  • 8+ years of hands-on experience with Python for ML and data engineering
  • Experience with Azure
  • Experience in SQL for data manipulation and feature engineering
  • Knowledge of MLOps tools (MLflow)
  • Ability to support on‑site work in Atlanta, GA
  • Ability to obtain andmaintaina Public Trust or Suitability/Fitness determination based on client requirements
Additional Preferred Qualifications:
  • Experience in data-centric AI or ML projects within healthcare, biomedical, or public health sectors
  • Experience with full-stack development or deploying end‑to‑end ML applications
  • Experience with deploying ML solutions using Mols pipelines
  • Knowledge of government public health data architecture and systems
  • Knowledge of chatbot development or conversational AI
  • Knowledge of Agile workflows and tools like Azure DevOps or JIRA
  • Possession of excellent oral and written communication skills
  • Ability to collaborate in a matrixed environment
Security, Salary, and Benefits:
  • Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period.
  • Market competitive salary, commensurate with experience and education.
  • Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities.
Notice on Candidate AI Usage

Metas Solutions is committed to maintaining a fair and competitive interview process for all candidates, based on their experience, skills, and education. To preserve the integrity and fairness of our interview process, candidates are expected to respond to all interview questions based on their own knowledge, skills, and experience. The use of artificial intelligence (AI) tools or other third-party resources to generate, assist with, or provide interview responses during phone, virtual, or in‑person interviews is not permitted. Any use of AI-assisted responses during the interview process may result in disqualification from further consideration for employment.

We are an Equal Opportunity Employer/Veterans/Disabled

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