ZipRecruiter

Log In

1

Junior Machine Learning Jobs in Georgia (NOW HIRING)

4P Consulting Inc.

Data Scientist 2 4P/187

Atlanta, GA · On-site

This role requires advanced analytics, machine learning expertise, and strong problem-solving ... Provide guidance and mentorship to junior data scientists and analysts to support team development ...

FIS

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

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.

Deloitte

AI Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

ARC Group

Sr. Data Scientist

Atlanta, GA

This is NOT a junior position nor a developer role , it is a need for a Data Scientist that will ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

... machine learning to improve decision-making and business efficiency. You will oversee the ... Expected to take a lead role in guiding data strategy and mentoring junior data scientists or ...

Smarsh

Lead Data Scientist

Atlanta, GA

Client/prospect guidance in machine learning model and analytic fine-tuning/development processes * Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

Verizon

Principal Data Scientist

Alpharetta, GA · On-site

Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists. * Drive technical excellence ...

Cliftonlarsonallen

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

You will work closely with AI leadership while providing day-to-day technical guidance to junior team members. This position blends applied machine learning, software engineering, cloud architecture ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Lead the design, development, testing, and deployment of machine learning and artificial ... Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and ...

Delta Air Lines, Inc.

Senior Data Scientist

Atlanta, GA · Hybrid

Use statistical analysis, operations research, and machine learning to create models that guide ... Mentor junior scientists and research specialists. * Telecommuting permitted two to three days per ...

next page

Showing results 1-20

All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Georgia

Junior Machine Learning information

See Georgia salary details

$6

$22

$39

How much do junior machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for junior machine learning in Georgia is $22.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $28.03 per hour, depending on experience, location, and employer.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Georgia? The most popular types of Machine Learning jobs in Georgia are:
What are popular job titles related to Junior Machine Learning jobs in Georgia? For Junior Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Georgia look for? The top searched job categories for Junior Machine Learning jobs in Georgia are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Georgia as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $47,343 per year, or $22.8 per hour.
Data Scientist 2 4P/187

Data Scientist 2 4P/187

4P Consulting Inc.

Atlanta, GA • On-site

Contractor

Re-posted 12 days ago

Job description

Data Scientist (5–10 Years Experience)
Overview:

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets.

Key Responsibilities:

1. Data Analysis:

  • Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights.

  • Apply statistical techniques to derive meaningful information for business strategies.

2. Predictive Modeling:

  • Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes.

  • Utilize techniques such as regression analysis, classification, and clustering.

3. Data Visualization:

  • Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn).

  • Effectively communicate insights to both technical and non-technical stakeholders.

4. Hypothesis Testing:

  • Formulate and test hypotheses to statistically validate business decisions and recommendations.

5. Feature Engineering:

  • Engineer and select relevant features to optimize the performance of machine learning models.

6. Algorithm Development:

  • Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks.

7. Data Integration:

  • Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses.

8. Model Deployment:

  • Deploy machine learning models into production environments to support real-time analytics and decision-making.

9. A/B Testing:

  • Design and evaluate A/B tests to assess the impact of process or product changes.

10. Data Ethics:

  • Ensure data handling practices meet ethical standards, including privacy and compliance with regulations.

11. Cross-functional Collaboration:

  • Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals.

12. Mentorship:

  • Provide guidance and mentorship to junior data scientists and analysts to support team development.

13. Continuous Learning:

  • Stay updated on the latest data science tools, trends, and best practices through professional development.

Qualifications:

  • Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).
    Master’s or Ph.D. is a plus.

  • Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis.

  • Programming Languages & Tools: Proficiency in Python, R, or Julia.

  • Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn).

  • Database Skills: Strong understanding of databases and SQL-based data manipulation.

  • Additional Skills:

    • Advanced problem-solving and critical thinking abilities.

    • Strong communication skills for conveying technical findings to diverse audiences.

    • Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

    • Awareness of data ethics and regulatory compliance.