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Entry Level Machine Learning Jobs in Atlanta, GA

Westrock

Machine Helper

Kennesaw, GA · On-site

$19.66/hr

Mon-Thurs 330p-130a overtime as needed Level: Entry-level; experience preferred but not necessary ... A learning mindset * Ability to read, write, speak, and understand basic English * Ability to read ...

Smurfit Westrock

Machine Helper

Kennesaw, GA · On-site

$19.66/hr

Mon-Thurs 330p-130a overtime as needed Level: Entry-level; experience preferred but not necessary ... A learning mindset * Ability to read, write, speak, and understand basic English * Ability to read ...

Pwc

AI & GenAI Data Scientist - Manager

Atlanta, GA

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

4P Consulting Inc.

Entry Level Controls Engineer

Kennesaw, GA · On-site

$77K - $99K/yr

... continuous learning. Key ResponsibilitiesPLC Programming & Development Develop, modify, and ... Write and debug ladder logic, structured text, and function block diagrams to control machinery and ...

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How much do entry level machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level machine learning in Atlanta, GA is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $18.27 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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Cities near Atlanta, GA with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $34,934 per year, or $16.8 per hour.

CATT Technical Delivery AI Software Engineer - Fall 2027

RSM Global

Atlanta, GA • On-site

Full-time

Posted 4 days ago

Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.
Junior AI/ML Engineer
JOB SUMMARY
The Associate - Junior AI/ML Engineer supports the development, testing, and deployment of AI and machine learning solutions that enhance business capabilities. This entry-level role provides hands-on experience working with data and models while building foundational knowledge in AI engineering practices.
ESSENTIAL DUTIES
  • Assist in designing, developing, and testing machine learning models for tasks such as classification, regression, clustering, and recommendations.

  • Support preprocessing and basic analysis of datasets using standard data tools.

  • Work with data scientists, engineers, and product teams to help integrate models into production systems.

  • Assist with experiments and model evaluations, documenting results for senior team members.

  • Stay up to date with the latest AI/ML research and contribute to team knowledge sharing.

SUCCESSFUL CHARACTERISTICS / SKILLS
  • Experience & Background

  • 1-2 years of experience in machine learning, data science, or software development (internship or academic projects acceptable).

  • Core Technical Proficiency

  • Familiarity with Python and major ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

  • Basic knowledge of data manipulation and visualization tools.

  • Broad understanding of machine learning principles and algorithms.

  • MLOps & Deployment

  • Awareness of MLOps practices and tools, such as version control, containerization, or model monitoring.

  • Advanced Methods

  • Foundational understanding of deep learning, natural language processing (NLP), or computer vision concepts.

  • Professional Traits

  • Ability to work independently with guidance and take initiative on assigned tasks.

  • Strong analytical and problem-solving skills with eagerness to learn and grow.

  • Ability to clearly document and communicate findings.

EDUCATION/CERTIFICATION REQUIREMENTS
  • Bachelor's degree in computer science, data science, engineering, mathematics, or a related field (or equivalent practical experience).

  • Azure AI Fundamentals or similar entry-level certification (preferred).

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.
All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.
RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.
RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.
At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Compensation Range: $70,400 - $84,000
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.
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About RSM International

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RSM International is a leading global network of audit, tax, and consulting firms. Headquartered in Chicago, Illinois, US, the firm focuses on providing an exceptional range of professional services to empower clients to move forward with confidence. RSM International was established in 1964 and has since grown to encompass firms in more than 120 countries. The firm's mission is guided by a deep understanding of what clients need to help drive their businesses forward, combined with the international reach of RSM firms worldwide.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

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