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Machine Learning Development Intern

Porto Alegre, Rio Grande do Sul, Brazil

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Schedule - Full time Shift -
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at HP

What you’ll work on

Full posting
  • Support development of ML models with a focus on generative AI

  • Fine-tune models and optimize prompt inputs to improve output quality

  • Help build and deploy AI-based chatbots and applications

  • Research GenAI trends and experiment with new techniques

  • Document the development process and model iteration

From the employer’s posting
Support the development of ML models, with a focus on Generative AI and Prompt Engineering
Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality
provide solutions for building and deploying AI-based chatbots and applications
Research the latest trends and breakthroughs in GenAI and contribute to experimentation with new techniques
Help document the development process, maintaining quality standards and best practices in model iteration and deployment

What you’ll bring

All qualifications

Core experience

  • Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;
Qualification wording
Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;

Tools in this posting

  • Python
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- Strong interest in Generative AI, chatbot development, and prompt engineering; - Basic experience with Python, TensorFlow, PyTorch, or other ML frameworks; - Curiosity about cloud computing, large language models (LLMs), and AI-driven solutions;

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier listing.

Status in our records
Live
First seen by us
Oct 19, 2026 · 2 days ago
Recorded sightings
11
Last seen by us
Oct 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Machine Learning Development Intern

Description -

Description:

The main objective of this internship program is to train and develop students to contribute to cutting-edge projects in Machine Learning (ML), and Generative AI (GenAI). Interns will take responsibility for key aspects of ongoing projects, gaining hands-on experience in ML model development and deployment. They will be involved in training, collaborative work, and practical tasks aimed at enhancing their skills in a corporate environment focused on innovation in AI.


Role:

  • Support the development of ML models, with a focus on Generative AI and Prompt Engineering;
  • Assist the ML team in fine-tuning models, optimizing prompt inputs, and improving output quality for AI-driven applications;
  • Collaborate with engineers and data scientists to understand project requirements and provide solutions for building and deploying AI-based chatbots and applications;
  • Participate in technical meetings and brainstorming sessions to improve model performance;
  • Research the latest trends and breakthroughs in GenAI and contribute to experimentation with new techniques;
  • Help document the development process, maintaining quality standards and best practices in model iteration and deployment.

Qualifications:

  • Students in Computer Science / Data Science / Machine Learning / Artificial Intelligence / Engineering or related fields from the 2nd semester onwards;
  • Knowledge of machine learning algorithms, deep learning, natural language processing (NLP), and AI model architectures;
  • Strong interest in Generative AI, chatbot development, and prompt engineering;
  • Basic experience with Python, TensorFlow, PyTorch, or other ML frameworks;
  • Curiosity about cloud computing, large language models (LLMs), and AI-driven solutions;
  • Strong analytical and problem-solving skills with a passion for AI research and development;
  • Intermediate proficiency in English is required.


#LI-POST

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (Brazil)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

Source details

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Pay

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Location & working pattern

Porto Alegre, Rio Grande do Sul, Brazil

Working pattern and location restrictions need checking in the full posting.

Work authorization
Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

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