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Product Manager Machine Learning Jobs in Georgia

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, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $95/hr

... products.# **Machine Learning Engineer**### **KSB GIW, Inc.**### **Department:** Engineering, Research & Development **Reports to:** Metallurgical and Materials R&D Lab Manager **Location:

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 ...

KSB GIW, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $110/hr

Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA ... Help bring prototype code to production quality: testing, documentation, version control

Speria

Machine Learning Operations Engineer

Atlanta, GA · On-site

$120 - $180/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 Operations (MLOps ...

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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 25, 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.

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 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.

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 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 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 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $134,599 per year, or $64.7 per hour.

Machine Learning Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is excited to add a Machine Learning Engineer to our team.
What you'll do
  • Design complex systems of systems for training and running machine learning models with industry best practice
  • Define projects and scope for teams of engineers and guide their completion
  • Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
  • Deliver on company initiatives and prioritize projects supporting your long term technical vision
  • Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
  • Participate in peer design and code reviews
  • Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
  • Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead

What experience you need
  • BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
  • 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
  • Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
  • Cloud Certification Strongly Preferred

What could set you apart
  • Application Development/Programming - Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase; Ability to establish the best practices of Software Development Life Cycle for the team
  • Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
  • Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
  • Cloud Computing - Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
  • Collaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems.
  • Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
  • Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles. Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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