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Director Machine Learning Jobs in Georgia (NOW HIRING)

Verathon Inc

Data Scientist

Duluth, GA · On-site

Continuously develop technical skills through self-directed learning and training. Experience * 3+ years of experience in data science, machine learning, or related analytical roles. * 3+ years of ...

Purple Drive

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Machine Learning. Bachelor degree in computer scienceEngineering, or related field.Strong Hands on Experience on Python coding and all the python libraries. Manageand direct processes and R&D ...

neptune technologies

Data Scientist

Duluth, GA

... self-directed learning and training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science ...

Neptune

Data Scientist

Duluth, GA · On-site

... self-directed learning and training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... machine learning models and data-driven solutions that enhance our water utility intelligence ... This role provides direct impact on utility operations, water conservation efforts, and customer ...

Newell Brands

Uses predictive analytics and machine learning to forecast brand and category performance, concept ... direct reports and peers. Newell Brands (NASDAQ: NWL) is a leading global consumer goods company ...

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Georgia

Director Machine Learning information

See Georgia salary details

$30.4K

$77.6K

$119.1K

How much do director machine learning jobs pay per year?

As of Sep 10, 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.

Director of AI (Atlanta)

Atlanta, GA • On-site

Florence Healthcare
Outpatient Health Care • 11 - 50 employees
Learn more about Florence Healthcareexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

What We Do:
Florence software advances cures by helping the world's most important research sites do their best work. Our solutions are now used by over 30,000 research teams in 70 countries around the world—we're the most widely deployed site workflow tool in the industry. By the end of the decade, we'll double the pace at which new medicines get to market by doubling the output of trial site teams. To date, we were named a Deloitte Fast 50 business, G2 Category Leader, an Inc. & AJC best place to work, and an Inc. 5000 company five years in a row.
At Florence, we are committed to make the world a better place by accelerating research while providing an environment for our employees where they can be happy in their lives, enjoy their jobs, and grow.
You Will:
Technical Leadership & Architecture
Lead the technical design and architecture of AI-powered products and platforms.

  • Evaluate and recommend LLMs, AI frameworks, orchestration platforms, and emerging AI technologies.
  • Remain hands-on by building prototypes, validating technical approaches, and helping teams solve complex AI engineering challenges.
  • Review architecture, code, and technical designs to ensure scalable, secure, and maintainable solutions.
  • Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration.
  • Mentor AI engineers through technical coaching, design reviews, and pair problem-solving.

    • AI Engineering Delivery
    Lead the development and operationalization of machine learning pipelines, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous improvement. Drive the best practices and adoption of MLOps practices to enable repeatable, scalable, and reliable machine learning model development and deployment across the organization. Work alongside engineering teams to unblock technical challenges and accelerate delivery. Partner with Product Management to define and implement AI capabilities that solve customer problems. Ensure AI solutions are reliable, observable, performant, cost-efficient and production-ready. Balance rapid experimentation with engineering quality and operational excellence.

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