Machine Learning Development Intern

HP; Porto Alegre; On-site; BRL 20,000 - 33,000; Full time

Job summary

HP in Brazil invites an enthusiastic ML Development Intern to contribute to cutting-edge AI projects. You will assist in developing GenAI models, refining prompts, and deploying AI-driven applications while collaborating with a skilled team of engineers and researchers.

The internship emphasizes hands-on ML model work, exposure to NLP and AI architectures, and learning best practices in deployment within a corporate AI innovation environment. An intermediate English level is required.

Qualifications

• Must be a student in CS/DS/ML/AI or related field from the 2nd semester onwards.
• Knowledge of ML algorithms, DL, NLP, and AI model architectures.
• Interest in GenAI, chatbot development, and prompt engineering.
• Basic experience with Python, TensorFlow, PyTorch or other ML frameworks.
• Interest in cloud computing, LLMs, and AI-driven solutions.
• Strong analytical and problem-solving skills with enthusiasm for AI research.
• English proficiency at an intermediate level.

Responsibilities

• Support the development of ML models with a focus on GenAI and prompt engineering.
• Assist in fine-tuning models, optimizing prompts, and improving output quality.
• Collaborate with engineers and data scientists to design AI chatbots and apps.
• Participate in technical meetings to improve model performance.
• Research GenAI trends and experiment with new techniques.
• Document development processes and maintain quality in model iteration and deployment.

Skills

GenAI interest

NLP knowledge

AI model architectures

Analytical & problem solving

English proficiency

Curiosity about cloud computing

Prompt engineering

Education

Student in CS/DS/ML/AI/Engineering (2nd semester or higher)

Tools

Python

TensorFlow

PyTorch

Job description

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”

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