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

Principal AI Engineer

Atlanta, GA · On-site

$125 - $150/hr

They combine deep expertise in machine learning, data science, and software engineering with ... Highly self-motivated, directed, ability to work independently and be results-driven * 5+ years ...

This position requires a strong command of statistical techniques and machine learning algorithms ... direct your inquiries to deluxecareers@deluxe.com.

Experience with machine learning algorithms NOTE: Position tasks are generally required to be ... Inquiries regarding this policy should be directed to the Emory University Department of Equity and ...

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

This position requires a strong command of statistical techniques and machine learning algorithms ... direct your inquiries to deluxecareers@deluxe.com

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Senior ML Engineer

Atlanta, GA · On-site

$125 - $150/hr

Job Summary We are seeking a highly skilled and innovative Machine Learning Engineer to develop ... Direct experience with document processing technologies such as OCR, layout parsing, Document AI ...

The program provides meaningful projects with direct impact on our business as well as exposure to ... Formal coursework and/or familiarity with AI/Machine learning * Experience working with large ...

Showing results 41-60

Director Machine Learning information

See Cumming, GA salary details

$32.1K

$82K

$125.8K

How much do director machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director machine learning in Cumming, GA is $82,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $94,600.00 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 Cumming, GA?

The most popular types of Machine Learning jobs in Cumming, GA are:

What are popular job titles related to Director Machine Learning jobs in Cumming, GA?

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

What job categories do people searching Director Machine Learning jobs in Cumming, GA look for?

The top searched job categories for Director Machine Learning jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Director Machine Learning jobs?

Cities near Cumming, GA with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Cumming, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,011 per year, or $39.4 per hour.

AI Engineer - Senior Associate - Commercial Technology & Innovation

Pwc

Atlanta, GA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Key responsibilities

  • Design and implement AI systems to transform raw data into actionable insights

  • Develop scalable machine learning models and deploy AI and machine learning solutions at scale

  • Collaborate with clients to understand their needs and deliver tailored AI solutions


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Software Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Engineer - Senior Associate - Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, asking questions and using these moments as opportunities to grow.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. This is an opportunity to be part of a dynamic team that is at the forefront of innovation, driving business growth through cutting-edge technology solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models using Python and TensorFlow
- Integrating data from various sources to enhance data quality and infrastructure
- Conducting complex data analysis to support informed decision-making
- Building and deploying AI and machine learning solutions at scale
- Collaborating with clients to understand their needs and deliver tailored AI solutions
- Utilizing programming languages such as C++ and Java for software development
- Applying natural language processing techniques for text analytics and sentiment analysis
- Managing data pipelines and confirming data integrity within analytics frameworks
- Mentoring junior team members and guiding them in AI and data engineering tasks
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Excelling in developing and managing data pipelines and infrastructure
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK