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Entry Level Machine Learning Jobs in Alpharetta, GA

Westrock

Machine Helper

Kennesaw, GA · On-site

$19.66/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Tire Discounters

Entry Level Tire Technician

Lawrenceville, GA · On-site

$14 - $16/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

Posted today

Prolift Rigging

Heavy Rigging Trainee

Atlanta, GA · On-site

Heavy Rigging Trainee Description: * Entry level position * Opportunity to travel and learn about ... Learning useful new skills in technically driven environment * Highly educational * Experience ...

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Entry Level Machine Learning information

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

As of Aug 17, 2026, the average hourly pay for entry level machine learning in Alpharetta, GA is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $18.56 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 or entry-level positions can provide practical experience.
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The most popular types of Machine Learning jobs in Alpharetta, GA are:

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For Entry Level Machine Learning jobs in Alpharetta, GA, the most frequently searched job titles are:

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What cities near Alpharetta, GA are hiring for Entry Level Machine Learning jobs?

Cities near Alpharetta, 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 Alpharetta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,466 per year, or $17.1 per hour.

Entry Level Data Scientist/Analyst/Java full stack developer

SynergisticIT

Alpharetta, GA • On-site

Other

Posted 6 days ago

Job description

ML Engineer / Junior AI Developer — Build AI With Strong Foundations Machine learning and AI roles require more than enthusiasm. Employers want candidates who can code, work with data, understand model behavior, evaluate results, and explain decisions. For junior candidates, strong foundations in Python, SQL, statistics, and software thinking are essential. SynergisticIT is considering candidates interested in Python, machine learning, NLP, statistics, model evaluation, APIs, data pipelines, AI applications, and cloud deployment basics. This opportunity is a strong fit for candidates who want to build AI-related skills while staying grounded in practical software and data workflows. SynergisticIT JOPP is good for ML and AI candidates because it helps them build a profile employers can evaluate. Candidates can strengthen technical fundamentals, work on practical projects, prepare for technical and behavioral interviews, and improve resume positioning for junior AI, ML, data science, and programming roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Build AI skills with practical career preparation— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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