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Director Machine Learning Jobs in Georgia (NOW HIRING)

Florence Healthcare - US

Director of AI

Atlanta, GA · On-site

The Director of AI leads the design, development, and delivery of AI-powered capabilities across ... Lead the development and operationalization of machine learning pipelines, including data ...

Florence Healthcare - US

Director of AI

Atlanta, GA · On-site

The Director of AI leads the design, development, and delivery of AI-powered capabilities across ... Lead the development and operationalization of machine learning pipelines, including data ...

Ascent360

Director of AI

Atlanta, GA · On-site

$200 - $250/hr

The Director of AI leads the design, development, and delivery of AI-powered capabilities across ... Lead the development and operationalization of machine learning pipelines, including data ...

Ascent360

Director of AI (Atlanta)

Atlanta, GA · On-site

$243K/yr

The Director of AI leads the design, development, and delivery of AI-powered capabilities across ... Lead the development and operationalization of machine learning pipelines, including data ...

Stord, Inc.

Director of Decision Science

Atlanta, GA · On-site

Machine Learning Portfolio: Design and productionize models in delivery prediction, carrier routing ... Experience going from individual contributor to Director, or building a data science function from ...

Stord

Director of Decision Science

Atlanta, GA · On-site

Machine Learning Portfolio : Design and productionize models in delivery prediction, carrier ... Experience going from individual contributor to Director, or building a data science function from ...

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Director Machine Learning information

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How much do director machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director machine learning in Georgia is $77,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $89,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 Director Machine Learning jobs in Georgia?

For Director Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Georgia look for?

The top searched job categories for Director Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Director Machine Learning jobs?

Cities in Georgia with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $77,626 per year, or $37.3 per hour.

Senior Manager, Application & Machine Learning Engineer

Atlanta, GA • On-site

Coca-Cola
Food Services and Drinking Places • 10K+ employees
Learn more about Coca-Colaexternal

Full-time

Posted 23 hours ago

Posted today

Coca-Cola rating

7.5

Company rating: 7.5 out of 10

Based on 445 frontline employees who took The Breakroom Quiz

154th of 445 rated food and drinks producers

Job description

Job Description Summary:

Role Overview

The Senior Manager, Application & Machine Learning Engineer is part of the Product Engineering team within the Digital Product & Engineering organization ofCocaCola'sGlobal Digital Network and reports to the Senior Director, Engineering Excellence Lead. This role plays a critical part in advancingCocaCola'sdigital transformation by building, scaling, and operationalizing intelligent applications that embed data, artificial intelligence, and machine learning intoprioritizeddomainsacross the enterprise.

Working within an engineering excellence framework, this role partners closely with Product Managers, Product Engineers, Data Scientists, Data Engineers, Architects, and domain stakeholders to develop secure, scalable, and high-performing digital products that accelerate growth, productivity, and operational efficiency. The roleis responsible fortranslating emerging AI and machine learning capabilities into production-ready solutions that create measurable business value and support the organization's transition to a digital-first, product-centric operating model.

The ideal candidate combines modern software engineeringexpertisewith machine learning delivery experience and a passion for continuous improvement, helpingestablishbest practices, reusable engineering patterns, and operational excellence across the Digital Product & Engineering organization.

What You will do for us

  • Design, develop, deploy, and support enterprise-grade applications and intelligentdigitalproducts thatleverageartificial intelligence and machine learning capabilities.

  • Partner with Product Engineering, Data, Platform, and Architecture teams to embed AI-enabled functionality into products serving critical business domains.

  • Drive engineering excellence by implementing modern software engineering standards, development practices, testing frameworks, and automation capabilities.

  • Build, deploy, and manage machine learning solutions that can be scaled across multiple use cases, products, and business functions.

  • Establish and promote reusable engineering patterns, frameworks, and components that improve product quality, maintainability, and development speed.

  • Collaborate with Product Managers and business stakeholders to translate business opportunities into scalable digital solutions that deliver measurable value.

  • Implement Machine Learning Operations (MLOps) practices that support model deployment, monitoring, lifecycle management, governance, and continuous improvement.

  • Contribute to the Product Engineering strategy by identifying opportunities to improve application performance, developer productivity, and platform capabilities.

  • Ensure solutions comply with enterprise cybersecurity, privacy, responsible AI, and architectural standards.

  • Evaluate emerging technologies, engineering tools, and AI capabilities to accelerate innovation while maintaining operational stability and reliability.

  • Mentor engineers and contribute to a culture of technical excellence, continuous learning, experimentation, and knowledge sharing across the Digital Product & Engineering organization.

  • Support the Digital Product & Engineering organization in building scalable digital products that enable CocaCola's digital growth engine.

Requirements and Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline.

  • 7+ years of experience in software engineering, application development, platform engineering, or digital product engineering environments.

  • 3+ years of experience delivering machine learning or artificial intelligence solutions in production environments.

  • Experience developing cloud-native applications using modern architectural patterns and engineering practices.

  • Demonstrated expertise in application engineering, machine learning frameworks, model deployment, and production support.

  • Experience implementingMLOps, CI/CD pipelines, automated testing, observability, monitoring, and deployment practices.

  • Strong understanding of software design principles, APIs, microservices, distributed systems, and scalable application architectures.

  • Experience collaborating within product-centric operating models and agile product delivery teams.

  • Strong knowledge of engineering quality practices, code review processes, software reliability, and operational excellence principles.

  • Experience integrating data, analytics, AI, and machine learning capabilities into customer-facing or enterprise digital products.

  • Understanding ofresponsible AI, model governance, cybersecurity, privacy, and enterprise risk management requirements.

  • Demonstrated ability to influence technical decisions and collaborate effectively within global, cross-functional teams.

  • Strong communicationskills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

  • Demonstrated digital fluency, AI fluency, and commitment to adopting emerging technologies that create business value.

  • Experience driving continuous improvement and engineering excellence initiatives within modern technology organizations.

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:

Budget Management, Communication, Data Analytics, DOT Regulations, Group Problem Solving, JDA (Inactive), Microsoft Office, Microsoft Power Business Intelligence (PBI), Oracle Transportation Management, SAP Manufacturing Execution (SAP ME), Supply Chain, Tableau (Software), Transportation Logistics, Transportation Management Systems (TMS), Transportation Planning

Pay Range:

United States: 152,000 - 178,300 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:

September 18, 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

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