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人工智能管培生 Artificial Intelligence Management Trainee
Responsibilities:
1.Utilize one-stop large model development platforms like Alibaba Cloud
ModelScope and Azure AI to design and implement efficient AI solutions.
2.Select, fine-tune, and deploy pre-trained large language models (LLMs) to meet
specific business needs.
3.Develop intelligent applications, including but not limited to prompt
engineering, RAG (Retrieval-Augmented Generation) integration, and plugin
extension capabilities.
4.Create generative AI solutions and share intelligent applications via APIs or
web interfaces.
5.Evaluate and optimize the performance of machine learning models to ensure
efficient operation in real-world applications.
6.Perform data cleaning, preprocessing, and annotation when necessary.
Requirements:
1.Educational Background: Bachelor’s degree or higher in Computer Science, Data
Science, Artificial Intelligence, or related fields.
2.Programming Skills: Proficiency in Python or other programming languages
suitable for AI development; familiarity with version control tools like Git.
3.Platform Experience: Experience with platforms like Alibaba Cloud ModelScope,
Azure AI, or similar, with knowledge of services such as model fine-tuning,
deployment, and evaluation.
4.Model Understanding: In-depth understanding of large language models (LLMs),
machine learning (ML), and deep learning (DL), including their differences and
application scenarios.
5.Cloud Service Management: Ability to manage and configure cloud resources, such
as virtual machines and storage buckets, and expertise in resource allocation
and cost control in cloud environments.
6. Data Processing: Strong skills in data cleaning and preprocessing, with the
ability to prepare high-quality datasets for model training.
7. Performance Optimization: Proficiency in applying model evaluation metrics
(e.g., accuracy, recall, F1-score) and hyperparameter tuning to improve model
performance.
8. English Proficiency: Fluent in English(speaking, listening, reading, writing); capable of understanding technical documentation and academic papers; capable of communicating with colleagues in English on a daily basis.9. Communication & Collaboration: Strong communication and teamwork skills, with the ability to explain complex technical concepts clearly.
Preferred Qualifications:
1.Familiarity with other mainstream AI frameworks or libraries, such as
TensorFlow and PyTorch.
2.Successful experience in AI projects, especially in natural language processing
or computer vision.
3.A product-oriented mindset, with the ability to design and optimize technical
solutions from a business perspective.
【崗位職責(zé)】
1、利用阿里云百煉、Azure AI等一站式大模型開(kāi)發(fā)平臺(tái)，設(shè)計(jì)并實(shí)現(xiàn)高效的AI解決方案。
2、選擇、調(diào)優(yōu)和部署預(yù)訓(xùn)練的大型語(yǔ)言模型（LLM），以滿足特定業(yè)務(wù)需求。
3、開(kāi)發(fā)智能體應(yīng)用，包括但不限于Prompt工程、RAG能力集成及插件擴(kuò)展功能。
4、創(chuàng)建生成式AI解決方案，并通過(guò)API或Web頁(yè)面分享智能體應(yīng)用。
5、對(duì)機(jī)器學(xué)習(xí)模型進(jìn)行性能評(píng)估和優(yōu)化，確保模型在實(shí)際應(yīng)用中的高效運(yùn)行。
6、數(shù)據(jù)清洗、預(yù)處理以及必要時(shí)的數(shù)據(jù)標(biāo)注工作。
【職位要求】
1、教育背景：計(jì)算機(jī)科學(xué)、數(shù)據(jù)科學(xué)、人工智能或相關(guān)領(lǐng)域本科及以上學(xué)歷。
2、編程技能：精通Python或其他適用于AI開(kāi)發(fā)的編程語(yǔ)言；熟悉Git等版本控制工具。
3、平臺(tái)經(jīng)驗(yàn)：有使用阿里云百煉、Azure AI或其他類(lèi)似AI開(kāi)發(fā)平臺(tái)的經(jīng)驗(yàn)，了解這些平臺(tái)上提供的服務(wù)如模型微調(diào)、部署、評(píng)測(cè)等。
4、模型知識(shí)：對(duì)大型語(yǔ)言模型（LLM）、機(jī)器學(xué)習(xí)（ML）和深度學(xué)習(xí)（DL）的基礎(chǔ)概念有深入理解，能夠解釋它們之間的差異及其應(yīng)用場(chǎng)景。
5、云服務(wù)管理：具備管理和配置云端資源的能力，如創(chuàng)建虛擬機(jī)、存儲(chǔ)桶等，熟悉云環(huán)境下的資源調(diào)度與成本控制。
6、數(shù)據(jù)處理能力：熟練掌握數(shù)據(jù)清洗、預(yù)處理技術(shù)，有能力準(zhǔn)備高質(zhì)量的數(shù)據(jù)集用于模型訓(xùn)練。
7、性能優(yōu)化：擅長(zhǎng)模型評(píng)估指標(biāo)（如準(zhǔn)確率、召回率、F1分?jǐn)?shù)）的應(yīng)用，能夠進(jìn)行超參數(shù)調(diào)整以提升模型效果。
8、英語(yǔ)能力： 英語(yǔ)讀寫(xiě)流利，能夠無(wú)障礙閱讀英文文獻(xiàn)和技術(shù)資料。能夠無(wú)障礙用英文進(jìn)行日常工作溝通。
9、溝通協(xié)作： 具備良好的溝通能力和團(tuán)隊(duì)合作精神，能清晰表達(dá)復(fù)雜的技術(shù)概念
加分項(xiàng)：
1、熟悉其他主流AI框架或庫(kù)，如TensorFlow、PyTorch等。
2、擁有成功的AI項(xiàng)目案例，特別是涉及自然語(yǔ)言處理、計(jì)算機(jī)視覺(jué)領(lǐng)域的項(xiàng)目經(jīng)驗(yàn)。
3、具備一定的產(chǎn)品思維，能從業(yè)務(wù)角度出發(fā)考慮技術(shù)方案的設(shè)計(jì)與優(yōu)化。