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Azure Ai Intern Jobs (NOW HIRING)

... Engineer Intern is responsible for defining, designing, and prototyping AI-enabled products ... Integratedevelopment ofscalable AI solutions using Azure, Microsoft Fabric, LLMs,AIagents, APIs ...

Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus. * Exposure to data pipeline or ... AI solutions. * Valid driver's license, vehicle insurance, and vehicle required. There is no mass ...

People Analytics and AI Intern

Plano, TX · On-site

$14.50 - $19.25/hr

Design and consult on AI-powered solutions using platforms such as MS Copilot and Studio, Glean Work AI, Azure AI Foundry, or Snowflake CoWork and Cortex to improve how HR teams access insights and ...

New

NC · On-site

If so, lets talk Your role and responsibilities We are seeking a motivate Intern to join our AI and ... Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads. • Software ...

Summer Intern 2027 - AI

Boston, MA · Hybrid

$54K - $72K/yr

As an AI Intern, you'll gain hands-on experience applying data science and machine learning ... Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) or data tools (e.g., Databricks ...

Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads. * Software ... Job Title Data Science and AI Intern - RTP 2027 Date posted 24-Aug-2026 Job ID 129906 City ...

Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads. * Software ... Job Title Data Science and AI Intern - RTP 2027 Date posted 24-Aug-2026 Job ID 129906 City ...

People Analytics and AI Intern

Plano, TX · On-site

$14.25 - $19.25/hr

Design and consult on AI-powered solutions using platforms such as MS Copilot and Studio, Glean Work AI, Azure AI Foundry, or Snowflake CoWork and Cortex to improve how HR teams access insights and ...

Design and consult on AI-powered solutions using platforms such as MS Copilot and Studio, Glean Work AI, Azure AI Foundry, or Snowflake CoWork and Cortex to improve how HR teams access insights and ...

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Azure Ai Intern information

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How much do azure ai intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for azure ai intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an Azure AI Intern do?

An Azure AI Intern typically assists in developing, testing, and deploying artificial intelligence solutions using Microsoft Azure's cloud services. Their responsibilities may include working with machine learning models, data analysis, and supporting senior engineers or data scientists in real-world projects. Interns gain practical experience with Azure's AI tools such as Azure Machine Learning, Cognitive Services, and Azure Databricks. The role is ideal for students or recent graduates looking to build skills in cloud-based AI and machine learning technologies.

What are the key skills and qualifications needed to thrive as an Azure AI Intern, and why are they important?

To thrive as an Azure AI Intern, you need a foundational understanding of computer science principles, programming skills (especially in Python or C#), and knowledge of machine learning concepts, often supported by coursework or relevant project experience. Familiarity with Microsoft Azure cloud services, Azure Machine Learning Studio, and data analytics tools is typically required. Strong problem-solving abilities, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are essential to contribute meaningfully to AI projects, adapt to new technologies, and collaborate effectively within a dynamic team environment.

What are the most commonly searched types of Azure Ai jobs?

The most popular types of Azure Ai jobs are:

What are popular job titles related to Azure Ai Intern jobs?

For Azure Ai Intern jobs, the most frequently searched job titles are:

Infographic showing various Azure Ai Intern job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

San Jose, CA • On-site

Advanced Micro Devices
Computer and Electronic Product Manufacturing • 5 - 10K employees

Other

Posted 19 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 162 rated electronics manufacturers


Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career.

As an AMD Co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Job Details:
  • Locations: San Jose, CA or Santa Clara, CA
  • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
Duration:
  • Spring/Summer Co-op: January 15, 2027 - August 13, 2027
  • Summer Internship:
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
    • Semester Students: May 24, 2027 - December 10, 2027
    • Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –

  • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
  • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
  • We may assign you to one or more of the following project work -
  • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
    • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
    • Fixing and addressing problems with deployed AI to improve user experience
    • Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
  • You are currently enrolled in a US based University in a Master’s degree program majoring in computer science, computer engineering, data science / analytics, or a related field
  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Machine learning, data science, computer vision, statistics, and mathematics
    • Programming in Python, C/C++
    • Relational (SQL) and no-SQL databases
    • Machine learning algorithms and frameworks
    • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
    • Familiarity with cloud (e.g., AWS, GCP, Azure)

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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