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Product Manager Machine Learning Jobs in Georgia

Coca-Cola

Senior Manager, Machine Learning Ops

Atlanta, GA

$125K - $160K/yr

... our products to our customers all over the world. This journey is a very exciting time forCoca ... Utilize Azure Machine Learning and Microsoft Fabric Data Science to manage the ML lifecycle. Adapt ...

New

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... product managers, and executives, to understand requirements and present technical solutions;

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

... Protein Production Performance Management Tools. For over 30 years, Speria MTech has provided ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

Ksb

Machine Learning Engineer

Grovetown, GA

... our products. Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite ...

Winixx

Machine Learning Engineer

Atlanta, GA · On-site

$130 - $185/hr

Our flagship products include Winixx Freight, a next-generation load board with embedded instant ... management and roadside assistance platform; and Baron Meddy Financial, our financial ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

... management and risk controls. The ideal candidate has a strong foundation in machine learning ... You will work closely with AI/ML researchers, data engineers, and product teams to design ...

Socket.dev

Machine Learning Engineer I

Atlanta, GA · On-site

$99.40 - $184.60/hr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... product managers, and editorial staff. Your Role Accountabilities... * Build and deploy full ...

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

The role involves collaborating with cross-functional teams and working on production ML systems ... Responsibilities : • Build and deploy full-lifecycle machine learning systems in Python for CNN ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Georgia

Product Manager Machine Learning information

See Georgia salary details

$43.5K

$134.6K

$166.3K

How much do product manager machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for product manager machine learning in Georgia is $134,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $166,300.00 per year, depending on experience, location, and employer.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a product manager machine learning?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in Georgia? For Product Manager Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Georgia look for? The top searched job categories for Product Manager Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Product Manager Machine Learning jobs? Cities in Georgia with the most Product Manager Machine Learning job openings:
Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $134,599 per year, or $64.7 per hour.

Manager, Machine Learning Ops

Coca-Cola

Atlanta, GA

Full-time

Posted 2 days ago

New

Coca-Cola Consolidated rating

7.3

Company rating: 7.3 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

178th of 436 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 Consolidated employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Coca-Cola Consolidated logo

About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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