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Artificial Intelligence Machine Learning Internship Jobs in Georgia

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 ...

Monitise

AI - Cyber Security Engineer - II

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, develop, and deploy artificial intelligence and machine learning solutions that support threat detection, anomaly identification, identity risk analysis, security automation, and incident ...

Fiserv, Inc.

AI - Cyber Security Engineer - II

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, develop, and deploy artificial intelligence and machine learning solutions that support threat detection, anomaly identification, identity risk analysis, security automation, and incident ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · On-site

$173K - $223K/yr

  • Medical

  • Retirement

  • PTO

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

Invesco

Global Head of Advanced Engineering

Atlanta, GA · On-site

$173K - $223K/yr

  • Medical

  • Retirement

  • PTO

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

Invesco

Global Head of Advanced Engineering

Atlanta, GA · Hybrid

$173K - $223K/yr

  • Medical

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

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Artificial Intelligence Machine Learning Internship information

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

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an artificial intelligence machine learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What is an artificial intelligence machine learning internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Georgia?

The most popular types of Artificial Intelligence Machine Learning jobs in Georgia are:

What are popular job titles related to Artificial Intelligence Machine Learning Internship jobs in Georgia?

For Artificial Intelligence Machine Learning Internship jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Internship jobs in Georgia look for?

The top searched job categories for Artificial Intelligence Machine Learning Internship jobs in Georgia are:

What cities in Georgia are hiring for Artificial Intelligence Machine Learning Internship jobs?

Cities in Georgia with the most Artificial Intelligence Machine Learning Internship job openings:

    Artificial Intelligence Machine Learning Internship jobs near you
    Infographic showing various Artificial Intelligence Machine Learning Internship job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

    Global Head of Advanced Engineering

    Invesco

    Atlanta, GA • On-site

    Full-time

    Re-posted 15 hours ago

    Invesco rating

    9.7

    Company rating: 9.7 out of 10

    Based on 5 frontline employees who took The Breakroom Quiz

    Job description

    Job Summary:
    Invesco is one of the world’s leading independent global investment firms, dedicated to rethinking possibilities for clients. The Global Head of Advanced Engineering is responsible for leading the execution of Invesco’s global strategy for artificial intelligence, machine learning, and advanced engineering, driving enterprise-wide AI adoption and overseeing the development of advanced AI solutions.
    Responsibilities:
    • Partner with Innovation and Technology leadership to define and execute an AI and advanced engineering strategy aligned with Invesco’s long-term vision, business objectives and growth priorities.
    • Educate and influence senior leaders on the strategic potential of AI and advanced technologies, fostering a culture of innovation, experimentation, and continuous improvement.
    • Collaborate with Innovation and Technology leadership to identify, evaluate and adopt emerging trends in artificial intelligence, machine learning, and advanced engineering to sustain Invesco’s competitive edge.
    • Build, lead, and develop a high-performing global team of advanced engineers and technologists, promoting technical excellence, accountability, and ongoing professional development.
    • Partner closely with business leaders to understand strategic priorities, identify opportunities for AI-enabled transformation, and translate those opportunities into validated use cases and actionable delivery plans.
    • Oversee the end-to-end design, development, and deployment of scalable AI solutions that support business outcomes, ensuring strong governance, security, and ethical standards.
    • Establish and optimize processes for AI model lifecycle management, data governance, and technology delivery, including the adoption of modern delivery models (e.g., Digital Factory models).
    • Ensure compliance with global regulatory requirements and alignment with Invesco’s risk management and control frameworks.
    • Foster a collaborative, inclusive environment that attracts, develops, and retains top talent in AI and advanced engineering.
    • Champion continuous learning, innovation, and professional development across the team and broader organization.
    Qualifications:
    Required:
    • Minimum 10+ years of experience in technology leadership roles, with at least 5 years in AI, machine learning, or advanced engineering domains.
    • Demonstrated experience in hands-on development, application and enterprise architecture, and multi-cloud technologies (AWS / Azure)
    • Demonstrated success in building and leading global, high-performing technical teams, with specific examples of leading Development and Implementation teams.
    • Proven track record of delivering large-scale AI/ML solutions in complex, regulated environments (preferably in financial services or related industries).
    • Deep understanding of AI/ML technologies, data science, cloud platforms, solution architecture, and modern engineering practices.
    • Experience with scenario planning, risk identification, and business strategy alignment.
    • Strong external network and credibility in the AI/technology ecosystem.
    Preferred:
    • Experience in Blockchain and Tokenization technologies, and or an understanding of Tokenization economics, would be a distinct advantage
    • Experience with CoPilot Studio will be a distinct advantage
    Company:
    Invesco Ltd. Founded in 1981, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

    What Invesco employees say

    Pay

    Hours and flexibility

    Workplace

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