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Data and AI Intern

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Sage

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Atlanta

AI generated summary

  • You must be enrolled in a related degree, have experience with AI frameworks, know Python or R, and understand data analysis. Strong problem-solving, teamwork, and communication skills are essential.
  • You will optimize AI/ML models, apply data technologies to solve real-world issues, and collaborate with engineers on developing and deploying machine learning solutions.

Requirements

  • AI summer intern
  • Current enrollment in a degree program in Computer Science, Data Science, or a related field.
  • Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Familiarity with programming languages such as Python or R.
  • Understanding of statistical analysis and data manipulation techniques.
  • Ability to work collaboratively in a team environment.
  • Strong problem-solving skills and willingness to learn.
  • Excellent communication skills.

Responsibilities

  • Assist in fine-tuning and optimizing AI/ML models for performance and accuracy.
  • Apply the latest AI and data technologies to real-world problems.
  • Collaborate with engineers to develop and deploy machine learning solutions.

FAQs

What is the job title for this internship?

The job title for this internship is Data and AI Intern.

Where is the internship located?

The internship is located in Atlanta, United States.

What is the work environment like for this position?

The work environment for this position is hybrid, meaning a combination of in-office and remote work.

What are the key responsibilities of this internship?

Key responsibilities include assisting in fine-tuning and optimizing AI/ML models for performance and accuracy, applying the latest AI and data technologies to real-world problems, and collaborating with engineers to develop and deploy machine learning solutions.

What kind of projects will I be working on as an intern?

As an intern, you will be working on real-world problems using the latest AI and data technologies, as well as developing and deploying machine learning solutions.

Who does this internship report to?

The internship is part of the Service Fabric team, specifically within Data and Developer Services.

Does Sage support diversity in the workplace?

Yes, Sage celebrates individuality and welcomes a diverse range of backgrounds, identities, beliefs, and ways of working.

How can I learn more about the company culture at Sage?

You can learn more about the company culture at Sage by visiting their careers page at sage.com/en-us/company/careers/working-at-sage/ and watching a video about their culture on YouTube.

If I have questions about the application process, whom should I contact?

If you need support applying, you can reach out at careers@sage.com.

Is there an opportunity for growth and innovation within the internship?

Yes, the internship provides opportunities to work with extraordinary teams and encourages continuous innovation, helping you to experience your potential.

At Sage, we knock down barriers with information, insights, and tools to help your business flow.

Technology
Industry
10,001+
Employees

Mission & Purpose

Sage is a software company that provides business management solutions to help businesses of all sizes manage their finances, operations, and people. They offer a range of software products and services, including accounting, payroll, human resources, and enterprise resource planning (ERP) solutions. Their ultimate mission is to empower businesses and entrepreneurs by providing them with the tools and insights they need to make informed decisions and drive growth and success. Sage's purpose is to simplify and streamline business processes, reduce complexity, and enable their customers to focus on what they do best – running their businesses efficiently and effectively.

Culture & Values

  • Human

    Empathy, care and connections with customers and colleagues

  • Bold

    We are curious, courageous, ambitious and creative

  • Trust

    We deliver on our promises to customers, colleagues, society and shareholders

  • Simplify

    We strip away complexity