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Junior Ai Machine Learning Python Jobs in Jonesboro, GA

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

You will work closely with AI/ML researchers, data engineers, and product teams to design ... Mentor junior engineers and contribute to ML engineering best practices. Skills, Knowledge and ...

Speria

Machine Learning Engineer

Atlanta, GA · On-site

Strong Python programming (production-level) * Experience with ML frameworks (PyTorch, TensorFlow ... Familiarity with LLMs, generative AI, and agent-based systems * MS may qualify with 1-2 years; BS ...

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Junior Ai Machine Learning Python information

See Jonesboro, GA salary details

$43.5K

$88.4K

$132.8K

How much do junior ai machine learning python jobs pay per year?

As of Sep 9, 2026, the average yearly pay for junior ai machine learning python in Jonesboro, GA is $88,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $89,300.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

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

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Junior Ai Machine Learning Python jobs in Jonesboro, GA look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in Jonesboro, GA are:

What cities near Jonesboro, GA are hiring for Junior Ai Machine Learning Python jobs?

Cities near Jonesboro, GA with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Jonesboro, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $88,394 per year, or $42.5 per hour.

AI/Machine Learning Engineer

Decatur, GA • On-site

Metas Solutions
Business Management Consulting • 11 - 50 employees
Learn more about Metas Solutionsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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 cuttingedge technologies-including AI agents, retrievalaugmented 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 cuttingedge 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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