Logo of Huzzle

Professional Services Support Intern Intern

image

CommScope

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • California
    Remote

AI generated summary

  • You must pursue a relevant degree with a 3.0 GPA, have Python skills, basic ML knowledge, experience in data processing, and strong analytical abilities. Unrestricted work authorization is required.
  • You will collect and structure data, train and test AI models for pre-sales, evaluate performance, refine datasets, and document findings to present to stakeholders.

Requirements

  • Actively pursuing a bachelor’s (upcoming sophomores, juniors & seniors) or master’s degree in the following Computer Science, AI, Data Science, from an accredited university
  • Proven strong academic performer with a minimum GPA of 3.0
  • Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn).
  • Basic understanding of machine learning (ML) and AI concepts.
  • Experience with data processing and AI model evaluation.
  • Strong analytical, problem-solving, and communication skills.
  • Must possess unrestricted work authorization and not require future sponsorship

Responsibilities

  • Data Preparation: Collect, clean, and structure data for AI model training.
  • AI Model Training & Testing: Train, fine-tune, and validate AI models for pre-sales queries.
  • Analysis & Optimization: Evaluate model performance and refine datasets to improve accuracy.
  • Documentation: Record methodologies, findings, and present progress to stakeholders.

FAQs

What is the duration of the internship program?

The internship program lasts for 12 weeks.

Where is the Professional Services Support Intern position located?

This is a remote role that can be located anywhere in the US.

What kind of projects will I work on as a Professional Services Support Intern?

You will support an AI-driven project aimed at improving pre-sales processes.

What qualifications are required for this internship?

You should be actively pursuing a bachelor’s or master’s degree in Computer Science, AI, or Data Science, with a minimum GPA of 3.0, and proficiency in Python and relevant libraries.

Do I need to have previous experience with machine learning or AI for this position?

A basic understanding of machine learning and AI concepts as well as experience with data processing and AI model evaluation is required.

Will I receive any mentorship during the internship?

Yes, you will receive mentorship from AI engineers and industry professionals throughout the internship.

What skills can I gain from this internship?

You will gain hands-on experience developing an AI-driven tool, exposure to real-world AI workflows, and a portfolio project to showcase your skills.

Is there a minimum GPA requirement for applicants?

Yes, a minimum GPA of 3.0 is required for applicants.

Are there any specific programming languages or tools I should be familiar with?

Proficiency in Python and relevant libraries such as Pandas, NumPy, and Scikit-learn is required. Familiarity with AI frameworks and SQL is a plus.

Is sponsorship available for international students?

No, you must possess unrestricted work authorization and not require future sponsorship.

What is the application process for this internship?

You can learn about the next steps in the hiring process by visiting https://careers.commscope.com/how-we-hire.

Does CommScope provide accommodation for applicants with disabilities?

Yes, CommScope is an Equal Opportunity Employer and provides accommodations for applicants with disabilities. You can submit your request at talentacquisition@commscope.com.

Will there be opportunities for professional development during the internship?

Yes, you will participate in professional development workshops, an executive speaker series, and other networking and social events.

Telecommunications
Industry
10,001+
Employees
1976
Founded Year

Mission & Purpose

CommScope (NASDAQ: COMM) is pushing the boundaries of technology to create the world’s most advanced wired and wireless networks. Our global team of employees, innovators and technologists empower customers to anticipate what’s next and invent what’s possible.