1

Junior Ai Machine Learning Python Jobs in Jonesboro, GA

Working knowledge of Python * Understanding of prompt engineering, retrieval systems, and AI-powered workflows * Familiarity with automation platforms such as Make, n8n, or Zapier * Ability to ...

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

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write ... Python code for data preprocessing, model training, and deployment. • Work with large datasets ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write ... Python code for data preprocessing, model training, and deployment. • Work with large datasets ...

Design, develop, test, deploy, and optimize AI and machine learning solutions, including: Data ... Mentor junior engineers, analysts, and data scientists on AI development methodologies, engineering ...

Showing results 41-60

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 11, 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:

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.

Junior AI Consultant

Atlanta, GA • On-site

Other

Re-posted 9 days ago


Job description


About the Company


We're partnering with a fast-growing AI consulting and solutions business that helps organizations implement AI in practical, measurable ways. Working with leadership teams and operational stakeholders, the company delivers AI training, workflow transformation, and custom AI-powered solutions that drive productivity, efficiency, and growth.


This is an opportunity to join a small, high-performing team at the forefront of enterprise AI adoption. You'll work directly with clients across a variety of industries, helping them understand, adopt, and operationalize AI technologies while supporting the delivery of bespoke AI solutions.


About the Role


This is a client-facing AI Consultant position with a strong focus on consulting, enablement, and business transformation. You'll lead AI adoption programs for multiple client organizations, helping teams integrate AI into their day-to-day workflows and unlock measurable business value. Alongside training delivery, you'll support the design and implementation of custom AI solutions, partnering closely with technical teams and stakeholders. This role combines consulting, education, solution design, project management, and applied AI expertise. It suits someone equally comfortable architecting a solution and standing in front of a room persuading people to change how they work.


Responsibilities


  • Deliver AI training and enablement programs for client teams, ranging from hands-on workshops to executive briefings
  • Facilitate sessions with executives, managers, and frontline employees, adjusting depth and language to the audience in the room
  • Analyze business processes and identify where AI genuinely improves outcomes, and where it doesn't
  • Help design practical AI solutions aligned with client objectives, including building and configuring AI agent capabilities
  • Support the delivery of custom AI automation and agent-based projects, working alongside technical delivery staff
  • Manage client engagements, timelines, and stakeholder communication
  • Create reusable training materials, frameworks, and best practices
  • Stay current with emerging AI tools, platforms, and industry developments


Qualifications


  • AI & Technical Fluency
  • This is a hands-on, practitioner-level requirement, not a passing familiarity.
  • Deep, current fluency with leading LLM platforms: you use them daily, and you understand how to build with them, not just prompt them
  • Direct experience building agentic capabilities within a platform such as Claude, including custom skills and autonomous or semi-autonomous agent workflows
  • Sound judgment on when a use case calls for deterministic code versus an LLM-based approach, and the ability to explain that tradeoff to both engineers and business stakeholders
  • Familiarity with AI-assisted coding tools such as GitHub Copilot is a strong plus
  • Working knowledge of Python
  • Understanding of prompt engineering, retrieval systems, and AI-powered workflows
  • Familiarity with automation platforms such as Make, n8n, or Zapier
  • Ability to translate business challenges into practical, buildable AI solutions


Required Skills


  • Training, Presentation & Communication
  • A genuinely compelling presenter and facilitator, someone who can hold a room's attention and drive a conversation forward, not just deliver a deck
  • Proven ability to translate technical AI concepts into plain language for non-technical, senior stakeholders, including executives whose day-to-day comfort with technology may be limited
  • Experience delivering training, workshops, enablement programs, or educational content
  • Passion for driving user adoption and behavioral change, with an instinct for when training has actually landed versus when it's just been attended


Preferred Skills


  • Consulting & Client Delivery
  • Strong stakeholder management and communication skills
  • Experience working with senior business leaders across a range of industries and technical sophistication
  • Ability to manage multiple concurrent projects
  • Comfortable operating in a fast-paced, high-growth environment
  • Strong problem-solving and project management capabilities


Why Join?


  • Work on cutting-edge AI initiatives across a diverse client base
  • Direct exposure to founders and senior leadership
  • Significant responsibility and ownership from day one
  • Opportunity to shape how organizations adopt and leverage AI
  • Accelerated professional growth in one of the fastest-growing areas of technology
  • High-impact work with measurable business outcomes