Machine Learning Development Intern

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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.

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Job -
Administration
Schedule -
Part 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 "

机器学习开发实习生

描述：
该实习项目的主要目标是培训和发展学生，使其能够为机器学习(ML)和生成式人工智能(GenAI)的前沿项目做出贡献。实习生将负责正在进行项目的关键方面，获得机器学习模型开发和部署的实践经验。他们将参与培训、协作工作和实践任务，旨在提高在专注于人工智能创新的商业环境中的技能。

职位：
支持机器学习模型的开发，重点关注生成式人工智能和提示工程；
协助机器学习团队微调模型，优化提示输入，并提高人工智能驱动应用的输出质量；
与工程师和数据科学家合作，了解项目需求，并为构建和部署基于人工智能的聊天机器人及应用提供解决方案；
参加技术会议和头脑风暴会议，以提高模型性能；
研究生成式人工智能的最新趋势和突破，并参与新技术的实验；
帮助记录开发过程，保持模型迭代和部署的质量标准和最佳实践。

资格要求：
计算机科学/数据科学/机器学习/人工智能/工程或相关专业的学生，从第二学期开始；
了解机器学习算法、深度学习、自然语言处理(NLP)和人工智能模型架构；
对生成式人工智能、聊天机器人开发和提示工程有浓厚兴趣；
具有Python、TensorFlow、PyTorch或其他机器学习框架的基本经验；
对云计算、大型语言模型(LLMs)和人工智能驱动解决方案有好奇心；
具有强大的分析和解决问题的能力，并对人工智能研究和发展充满热情；
需要中级英语水平。

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工作类型 - 行政
工作时间 - 兼职
班次 - 无班次津贴（巴西）
出差 -

搬迁 -

平等机会雇主(EEO) -

惠普公司(Hewlett-Packard, Inc.)为所有员工和应聘者提供平等就业机会，不因种族、肤色、宗教、性别、国籍、血统、公民身份、性取向、年龄、残疾或受保护退伍军人身份、婚姻状况、家庭状况、身体或精神残疾、医疗状况、怀孕、遗传倾向或携带者身份、服役状态、政治立场或任何其他受适用的国家、联邦、州和地方法律保护的特征而有所歧视。

请放心，如果您选择提供所要求的信息，您不会受到任何不利对待。此信息自愿提供。所获得的信息将严格保密。

有关更多信息，请查阅惠普的平等就业机会政策，或在此处了解您作为申请人在法律下的权利："了解您的权利：职场歧视是违法的"

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