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Artificial Intelligence And Machine Learning Jobs in Atlanta, GA

Monitise

A.I. Transformation Lead

Alpharetta, GA · On-site

$141K - $225K/yr

Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or a related field; advanced degree preferred. Technical Expertise * Strong foundation in machine ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · Hybrid

$173K - $223K/yr

Collaborate with Innovation and Technology leadership to identify, evaluate and adopt emerging trends in artificial intelligence, machine learning, and advanced engineering to sustain Invesco ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... artificial intelligence, and deep learning techniques * 7+ years of total experience with ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... artificial intelligence, and deep learning techniques * 7+ years of total experience with ...

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

We provide our customers with solutions in Business Intelligence, Live Production Accounting ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

Premier Inn Hotels LLC (UAE)

EE/CS Patent Agent

Atlanta, GA · On-site

$140 - $240/hr

Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is presented by ...

MNF Global

EE/CS Patent Agent

Atlanta, GA

$140K/yr

Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is presented by ...

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for artificial intelligence and machine learning in Atlanta, GA is $25.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $26.83 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Atlanta, GA?

For Artificial Intelligence And Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:

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Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $52,702 per year, or $25.3 per hour.

Director, Enterprise Data & Artificial Intelligence

CRH Medical Corporation

Atlanta, GA • On-site

$160K/yr

Full-time

Posted 21 days ago

Job description

Description
POSITION SUMMARY
The Director, Enterprise Data & Artificial Intelligence serves as CRH Medical Corporation's strategic leader for enterprise data, business intelligence, analytics, and artificial intelligence. This role is responsible for developing and executing an enterprise-wide data strategy that transforms information into actionable insights, enables data-driven decision making, and leverages AI to improve operational efficiency, workforce productivity, and business performance across all CRH business segments.
The Director will establish a single source of truth for enterprise reporting, oversee data governance, develop predictive analytics, and identify opportunities to automate processes through responsible AI technologies. This position partners closely with Executive Leadership and functional leaders across HR, Finance, Operations, Recruiting, Credentialing, Provider Services, Marketing, Revenue Cycle, Compliance, and Information Technology. This role is instrumental in supporting CRH's continued growth by transforming enterprise data into a strategic business asset. Position reports directly to CFO.
MINIMUM JOB REQUIREMENTS
Education & Qualifications:
Education: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Engineering, or a related field. Master's degree preferred
Licensure & Certifications: N/A
Previous Experience: Eight (8) or more years of progressive experience in business intelligence, analytics, data management, or enterprise reporting. Five (5) or more years leading enterprise analytics initiatives. Experience implementing AI solutions and business intelligence platforms. Demonstrated success developing executive dashboards and enterprise reporting sourced from independent and diverse software systems.
Experience managing enterprise data governance initiatives. Healthcare industry experience highly preferred.
Skills: Exceptional analytical, strategic, and critical thinking skills with the ability to transform complex data into actionable business insights. Strong business, financial, and operational acumen with expertise in business intelligence, data governance, predictive analytics, and artificial intelligence. Proven ability to influence leaders, build collaborative relationships, and communicate complex information to technical and non-technical audiences. Demonstrated success managing multiple priorities, driving innovation, implementing data-driven solutions, and exercising sound judgment in a fast-paced, evolving environment.
Technical Skills: Advanced proficiency in Microsoft Power BI, Microsoft Fabric, SQL, Python, Azure Data Services, Microsoft Copilot, Power Automate, and Power Apps. Strong expertise in data warehousing, ETL (Extract, Transform, and Load) processes, enterprise reporting, dashboard development, data visualization, predictive analytics, and machine learning fundamentals. Advanced Microsoft Excel skills with the ability to integrate, analyze, and interpret complex datasets while developing scalable reporting solutions that support enterprise-wide decision-making and responsible AI initiatives.
Travel: Ability to travel throughout the U.S. and Canada
JOB SPECIFIC EXPECTATIONS
Enterprise Data Strategy
  • Develop and execute CRH's enterprise data and analytics strategy aligned with corporate objectives.
  • Establish enterprise data governance standards, policies, and best practices.
  • Ensure data quality, integrity, consistency, security, and accessibility across all business functions.
  • Develop enterprise data architecture supporting scalable business growth.

Business Intelligence & Analytics
  • Design and maintain executive dashboards and enterprise scorecards.
  • Develop standardized organizational KPIs and reporting metrics.
  • Build predictive and prescriptive analytics supporting strategic planning.
  • Deliver meaningful business insights through advanced analytics and visualization tools.
  • Identify operational trends, risks, and growth opportunities through enterprise data analysis.

Artificial Intelligence Leadership
  • Lead CRH's responsible adoption of Artificial Intelligence technologies.
  • Evaluate emerging AI solutions that improve operational effectiveness.
  • Identify automation opportunities across administrative, operational, and clinical support functions.
  • Develop AI governance standards and implementation guidelines.
  • Partner with department leaders to integrate AI into existing workflows while ensuring regulatory compliance.

Enterprise Reporting
  • Develop and maintain an integrated enterprise reporting environment that consolidates data across Human Resources, Finance, Revenue Cycle, Credentialing, Recruitment, Marketing, Compliance, CRH Clinical Operations, CRH Staffing, CRH GI Solutions and Executive Leadership.
  • Develop executive dashboards providing real-time organizational performance.
  • Automate recurring reports to improve efficiency and decision-making.

Technology & Systems Integration
  • Partner with our MSP to integrate enterprise systems and databases.
  • Assist with building, maintaining, and continuously improving bi-directional API systems for speed, reliability, and quality.
  • Develop scalable data models and reporting architecture.
  • Optimize business intelligence platforms and reporting tools.
  • Evaluate emerging analytics and AI technologies supporting organizational growth.

Leadership & Collaboration
  • Serve as the organization's enterprise analytics subject matter expert.
  • Provide ultimate ownership of enterprise data quality and data integrity.
  • Present data-driven recommendations to Executive Leadership/Divisional Leaders .
  • Educate leaders on analytics, AI capabilities, and data-informed decision making.
  • Foster a culture of innovation, continuous improvement, and data literacy across the organization.
  • Travel as needed.
  • Other duties as assigned.

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