2

Entry Level Machine Learning Engineer Jobs in Roswell, GA

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists. * Apply various ...

Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists. * Apply various ...

Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists. * Apply various ...

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 ...

RIT Solutions, Inc. is a company focused on innovative AI solutions, seeking a Gen AI Engineer to ... Required : • Strong foundation in AI, deep learning, and machine learning principles. • ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Roswell, GA salary details

$27.6K

$63.8K

$108.6K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level machine learning engineer in Roswell, GA is $63,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $72,200.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Roswell, GA?

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

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

Cities near Roswell, GA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Roswell, GA as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $63,821 per year, or $30.7 per hour.

Manager, Machine Learning Ops

Coca-Cola

Atlanta, GA

Full-time

Posted 7 days ago


Coca-Cola rating

7.6

Company rating: 7.6 out of 10

Based on 441 frontline employees who took The Breakroom Quiz

139th of 438 rated food and drinks producers


Job description

Job Description Summary:

The Coca-Cola Company's Technology organization isin the midst ofa digital transformation that allows our employees to useworld classtechnology to connect our products to our customers all over the world. This journey is a very exciting time forCoca-Colaand our employees are big contributors to our Success and Growth. Our large scale and complex environmentoffersan incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

In this position, you will embark on a journey ofleveragingvast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategyacross the organization. This is an exciting opportunity togrow inyour career in data science and analytics within a supportive and innovative environment.

WhatYou'llDo for Us:

  • Collaborate with cross-functional teams to understand businessrequirementsandobjectives.

  • Translate business requirementsby incorporating data and developML and AIalgorithms toproduce actionable insightsfor various functional areas and use-cases, includingMarketing,Finance,TechnicalInnovation andSupply Chain (amongothers) across the Globe.

  • Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling.

  • Visualizeand interpretdata andcreatereportsand actionable insights.

  • Communicate complex analytical work to a variety of technical and non-technical stakeholders.

  • Partner withML OPSto scaleandoperationalize MLandAIuse-cases.

  • Maintain technical documentationin accordance withthe agreed standards.

  • Build andmaintaina robust library of data science solutions, reusable templates,algorithmsand supporting code.

  • Leverage CI and CD principles to automate and improve repeatability of deployments.

  • Keepabreastof industry trends and developments in data science and analytics.

Qualifications& Requirements:

  • Bachelor's orMaster'sdegree inaquantitative field, such asData Science,Statistics,Computer Science,Economics, Finance,Mathematicsor other quantitativediscipline.

  • Experience gathering,interpretingand translating business requirements.

  • 2+ years' experience withanalytical and programming languages and packages, such as Python, R, and SQL.

  • Able to understand various data structures and common methods in datatransformation.

  • Knowledge and experienceapplying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production.

  • Strong aptitude for learning and applyingnew technologiesrelated to Data Science and Data Management.

  • Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences.

  • Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Functional Skills:

  • Practical experience with as many of the following as possible:

  • Handles multiple competing priorities in a fast-paced, deadline-driven environment

  • Strong attention to details and excellent problem-solving skills

  • Ability to work in a collaborative team environment

  • Highly innovative, adaptable, and self-directed

  • Results-oriented with a delivery focus

  • Presentation skills: Ability to communicate technical topics to businessaudience.

  • Be able to collaborate across other levels of the organization

  • Team player who can lead a discussion to defined outcomes

  • Effective Communication

  • Pursuing Innovation

What We Can Do for You:

  • Innovation & Technology:The ability to work with an award-winning team that is on thecutting edgeof innovation.

  • Exposure to World Class Leaders:Availability to global technology leaders that will expand your network and exposure you toemergingtechnologies and techniques.

  • Agile Work Environment:We embrace agile with management that believes in removing barriers, so you are empowered to experiment,iterateand innovate.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Pay Range:

United States of America: 112,000 USD - 136,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

15

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

August 14, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Visionto learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Coca-Cola logo

About Coca-Cola

Sourced by ZipRecruiter

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta where the first glass of Coca‑Cola was poured. From that one iconic drink, we’ve evolved into a total beverage company. More than 2.2 billion servings of our drinks are enjoyed in more than 200 countries and territories each day. We are constantly transforming our portfolio, from reducing added sugar in our drinks to bringing innovative new products to market. We seek to positively impact people’s lives, communities and the planet through water replenishment, packaging recycling, sustainable sourcing practices and carbon emissions reductions across our value chain. Together with our bottling partners, we employ more than 700,000 people, helping bring economic opportunity to local communities worldwide. We are committed to offering people more of the drinks they want across a range of categories and sizes while driving sustainable solutions that build resilience into our business and create positive change for the planet.

Industry

Food services and drinking places and food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US