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Entry Level Machine Learning Engineer Jobs in Alpharetta, GA

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Duluth, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Atlanta, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Collaborate with university partners and other scientists and engineers in a multidisciplinary work ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Alpharetta, GA salary details

$29.3K

$67.7K

$115.2K

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

As of Aug 17, 2026, the average yearly pay for entry level machine learning engineer in Alpharetta, GA is $67,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $76,600.00 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 the most commonly searched types of Machine Learning Engineer jobs in Alpharetta, GA?

The most popular types of Machine Learning Engineer jobs in Alpharetta, GA are:

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

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

What job categories do people searching Entry Level Machine Learning Engineer jobs in Alpharetta, GA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Alpharetta, GA are:

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

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

Infographic showing various Entry Level Machine Learning Engineer job openings in Alpharetta, 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 $67,718 per year, or $32.6 per hour.

Senior Machine Learning Engineer

The Coca-Cola Company

Atlanta, GA • On-site

Full-time

Posted 10 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 is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.
As a Consultant, Machine Learning Advanced Analytics, you will embark on a journey of leveraging vast 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 strategy across the organization. This is an exciting opportunity to grow in your career in data science and analytics within a supportive and innovative environment.
What You'll Do for Us:
  • Collaborate with cross-functional teams to understand business requirements and objectives.

  • Translate business requirements by incorporating data and develop ML and AI algorithms to produce actionable insights for various functional areas and use-cases, including Marketing, Finance, Technical Innovation and Supply Chain (among others) across the Globe.

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

  • Visualize and interpret data and create reports and actionable insights.

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

  • Partner with ML OPS to scale and operationalize ML and AI use-cases.

  • Maintain technical documentation in accordance with the agreed standards.

  • Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code.

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

  • Keep abreast of industry trends and developments in data science and analytics.

Qualifications & Requirements:
  • Bachelor's or Master's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics or other quantitative discipline.

  • Experience gathering, interpreting and translating business requirements.

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

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

  • Knowledge and experience applying 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 applying new technologies related 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 business audience.

  • 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 the cutting edge of innovation.

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

  • Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and 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 Vision to 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

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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