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Director Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Carter's, Inc.

Lead Data Analyst COE

Atlanta, GA · On-site

This role typical reports to Director, Analytics COE & Strategy and is based in our Buckhead Office ... Build and deploy machine learning models * Monitor and maintain machine learning models Data ...

STR

Lead Signal Processing Researcher

Atlanta, GA · On-site

$173K - $216K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... Direct Modeling and Simulation activities of advanced RF systems in support of algorithm ...

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

$126K - $166K/yr

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

... direct impact on customer outcomes and revenue. You will own ML projects end-to-end--the science and the engineering. A Day in the Life * Research, design, and develop machine learning models for ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

... direct impact on customer outcomes and revenue. You will own ML projects end-to-end-the science and the engineering. A Day in the Life * Research, design, and develop machine learning models for ...

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Showing results 1-20

All JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Atlanta, GA

Director Machine Learning information

See Atlanta, GA salary details

$34.6K

$88.4K

$135.6K

How much do director machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for director machine learning in Atlanta, GA is $88,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $101,900.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

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.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

What is a Director Machine Learning job?

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 of 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 most commonly searched types of Machine Learning jobs in Atlanta, GA? The most popular types of Machine Learning jobs in Atlanta, GA are:
What are popular job titles related to Director Machine Learning jobs in Atlanta, GA? For Director Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Director Machine Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Director Machine Learning jobs? Cities near Atlanta, GA with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $88,407 per year, or $42.5 per hour.
Lead Data Analyst COE

Lead Data Analyst COE

Carter's, Inc.

Atlanta, GA • On-site

Full-time

Posted 3 days ago

Carter's rating

6.0

Company rating: 6.0 out of 10

Based on 194 frontline employees who took The Breakroom Quiz

53rd of 102 rated fashion retailers

Job description

Serving the needs of all families with young children, Carter's Inc. is the largest North American apparel retailer exclusively for babies and young children, encompassing Carter's, OshKosh B'gosh, Skip*Hop and Little Planet brands. Meaningful work, constant learning, genuine people, and a community guided by core values that promote inclusion and innovation is in everything we do. There are many reasons to build your career at Carter's.
How you'll make an impact:
This role typical reports to Director, Analytics COE & Strategy and is based in our Buckhead Office.
Lead analytics projects (30%)
  • Serve as the technical and analytical Subject Matter Expert (SME)
  • Lead and mentor team members
  • Collaborate with business SMEs to produce analytical solutions
  • Enable Tableau and other tools for Self-Service analytics within functional business groups to improve insights and efficiency
Data modeling and machine learning (20%)
  • Collaborate with stakeholders to understand business needs and develop data-driven solutions
  • Design and execute analytics projects
  • Build and deploy machine learning models
  • Monitor and maintain machine learning models
Data Engineering (20%)
  • Develop custom queries per use case
  • Connect to a variety of databases
  • Joining, un-joining and shaping data
Design and develop Tableau dashboards which include key metrics, variance reporting, and advanced analytics (20%)
  • Work through Tableau dashboard lifecycle from frameworks to dashboard deployment
  • Apply visual analytics principles to effectively communicate insights
  • Creating interactive dashboards with the end user in mind
  • Creating calculations, parameters and leveraging Tableau analytics
  • Develop ETL flows when necessary
Follow AGILE methodology to successfully manage and deliver projects (10%)
  • Project management and leadership
  • Tracking in JIRA
Secondary functions include:
  • Recommend and support the introduction of new or improved technical and business practices.
  • Prepare documentation and user aids suitable to end user needs. Provide training to end users and support staff appropriate to the business need.
  • Performs analytical, and programming tasks as assigned outside of conventional BI tool

Support BI tools and add-ons.
We'd Love to hear from you if: (Requirements section)
Must have:
  • 2+ years of experience with Machine Learning tools
  • 3 years of experience with BI Tool Expertise (Tableau, MicroStrategy, Business Objects, Cognos,etc.)
  • 2 years of experience with Python, R, SQL (Procedures, Views, Functions, Scripts, etc.)
  • 2 years of experience with Data Warehouse / Databases (AWS Redshift, Teradata, Oracle, SQL Server, etc.)
  • 1+ year of experience with ETL Tool Exposure (Informatica, Data Stage etc.)

Preferred skills and experience:
  • Bachelor's Degree in CS, Business, or similar field (Masters / MBA a plus)
  • 2 years of experience with Business Intelligence or Analytics experience
  • 2 years of experience with Data Warehouse / Data Integration development experience
  • 1 year of experience with Data Modeling experience
  • Retail and / or Wholesale experience is a plus

Carters is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, veteran status, or any other status protected by federal, state, or local law.

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