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Director Machine Learning Jobs in Georgia (NOW HIRING)

Monitise

Director, AI - Cyber Security I

Alpharetta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job Title Director, AI - Cyber Security I About your role: As a Senior Advisor, Software ... Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud ...

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 ...

Visa

Sr Director - Card Risk Solutions

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Your future team produces industry leading machine learning models and decision systems whose actions protect hundreds of millions of cardholders and accountholders from fraud and financial crime ...

Visa

Sr Director - Card Risk Solutions

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Your future team produces industry leading machine learning models and decision systems whose actions protect hundreds of millions of cardholders and accountholders from fraud and financial crime ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

  • Medical

  • Retirement

  • PTO

Operating at the intersection of Data Science, Machine Learning Engineering, and Software ... This Position has 0 Direct Reports Travel Requirements: * Typically requires overnight travel 5% to ...

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Showing results 41-60

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 Aug 20, 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, AI - Cyber Security I

Monitise

Alpharetta, GA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Director, AI - Cyber Security I

About your role:

As a Senior Advisor, Software Engineering, you will design and scale AI-driven cybersecurity platforms that strengthen enterprise defense capabilities across Fiserv. You will work across cybersecurity, cloud engineering, data engineering, application development, and enterprise architecture teams to deliver secure, production-grade solutions on Google Cloud. Your work will help improve threat detection, automate security operations, and advance AI-enabled cyber resilience across the organization.

What you'll do:

  • Design, develop, and deploy AI-powered cybersecurity capabilities for threat detection, anomaly identification, identity and access risk analysis, security operations automation, incident response orchestration, and cyber threat intelligence.
  • Architect and implement multi-agent and agentic AI frameworks that support enterprise cybersecurity use cases, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge retrieval systems.
  • Lead the engineering and delivery of scalable, cloud-native AI security platforms on Google Cloud using tools such as Vertex AI, Gemini, BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Functions, and Google Kubernetes Engine (GKE).
  • Integrate AI capabilities with enterprise cybersecurity platforms and services, including Identity and Access Management (IAM), Privileged Access Management (PAM), secrets management, Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), Governance, Risk, and Compliance (GRC), and security telemetry platforms.
  • Establish engineering standards and lifecycle practices for AI platforms, including model training pipelines, automated deployment, monitoring, evaluation, drift detection, Infrastructure as Code, and continuous integration and continuous deployment (CI/CD) for machine learning workloads.
  • Embed security, privacy, compliance, and responsible AI practices into platform design by applying Zero Trust principles, Secure-by-Design methods, and controls against prompt injection, adversarial machine learning threats, data poisoning, model manipulation, and unauthorized access.
  • Partner with cross-functional technical and business teams to translate cybersecurity and business requirements into scalable AI solutions, while influencing architecture, technical direction, and enterprise adoption of modern AI engineering practices.
  • Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

Experience you'll need to have:

  • 10+ years of experience in software engineering, building enterprise-scale applications and platforms using Python and modern software development practices.
  • 10+ years of experience designing and operating cloud-native solutions on Google Cloud Platform (GCP) or an equivalent cloud environment.
  • 10+ years of experience in machine learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, APIs, microservices, and distributed systems.
  • 10+ years of experience with Kubernetes, Docker, CI/CD platforms, MLOps, AIOps, and Infrastructure as Code in production environments.
  • 10+ years of experience in cybersecurity engineering across Identity and Access Management (IAM), Privileged Access Management (PAM), Identity Governance Administration (IGA), secrets management, Zero Trust architecture, and cloud security.
  • 10+ years of experience with Security Information and Event Management (SIEM), Security Orchestration, Automation and Response (SOAR), threat detection and response, Security Operations Center (SOC) technologies, and security automation platforms.
  • Bachelor's degree or higher in Engineering, Computer Science, Artificial Intelligence, Cybersecurity, Information Security, Data Science, or a related field, or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:

  • Master's degree or Ph.D. in Engineering, Computer Science, Artificial Intelligence, Cybersecurity, Information Security, Data Science, or a related field, or equivalent combination of education, related experience and/or military experience.
  • Experience designing and deploying AI agents and autonomous security systems in enterprise environments.
  • Experience in financial services, fintech, payments, banking, or another highly regulated industry.
    Google Cloud certifications such as Professional Machine Learning Engineer or Professional Cloud Architect, or equivalent certification experience.

How you'll work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Travel: This role requires occasional travel (up to 10%).

Sponsorship:

You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Benefits at Fiserv:

  • Fuel Your Life program to support your physical, financial, social, and emotional well-being.
  • Paid holidays and generous time away policies.
  • No-cost mental health support through Employee Assistance Programs.
  • Living Proof program to recognize your peers' extra effort with points redeemable for rewards.
  • Eight Employee Resource Groups to foster a collaborative culture and expand your network.
  • Unparalleled professional growth with training, development, and internal mobility opportunities.
  • Medical, dental, vision, life, and disability insurance options available from day one.
  • Retirement planning including 401k match and discounted shares with the Employee Stock Purchase Plan.
  • Tuition assistance and reimbursement program.
  • Paid parental and military leave.

Salary Range

$127,500.00 - $204,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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