<ul><li>Requirements<ul><li>Bachelor's degree or above, major in data science, computer science, statistics or data science related majors; Master preferred</li><li>6-10 years of experience as a data scientist/analyst</li><li>Sufficient coding skills, Python and SQL is a must; better can write other programming languages such as Java</li><li>Strong knowledge and hands-on experience on end-to end model development of machine learning model (e.g. propensity) , deep learning model (e.g. real-time product recommendation)</li><li>Strong knowledge and hands-on experience on LLM models, such as LLM model fine tuning, vectorization, Lang chain development</li><li>Strong knowledge and hands-on experience on model deployment and release (model as service)</li><li>Able to complete end-to-end model development: including business question identify, model solution research and design, model development and deployment, model release as a service, present to the end users, model review and update</li><li>English required (speaking and writing)</li></ul></li><li>Responsibility<ul><li>Collaborate with PO (Project owner) to deliver the modelling solution &amp; Result t to fulfill the business scenarios</li><li>Responsible for the end-to-end model development</li><li>Research on advanced modelling &amp;AI technologies and apply/test them in the modelling projects</li><li>Closely work with machine learning engineer (vendor), also validate the work to complete model deployment and MASS (model as service) process</li></ul></li><li>Project management<ul><li>Responsible for building end-to-end LLM model solution, include but not limited to computational resource selection, pre-trained model selection, model fine-tuning, Agent build (Eg.Langchain), model deployment as service (model API and Agent API)</li><li>Work with Po to support business scenarios (LLM models+ Agent design)</li><li>Work with Tech to support on LLM arch structure (Model as service)</li><li>Other potential tasks<ul><li>MultiModel research, test and apply on business scenarios</li></ul></li></ul></li></ul><p>Ali tongyitingwu (audio detect emotion) research, test and apply on business scenarios</p><p><em>By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice https://www.roberthalf.cn/en/privacy-statement. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.</em></p><hr /><p><em>点击"申请"，即表示您明确同意 Robert Half 可以使用您的个人信息来处理您的工作申请，并不时与您联系以获得未来的就业机会。 如需进一步了解 Robert Half 如何处理您的个人信息以及如何访问和更正您的信息，请阅读 Robert Half 隐私声明<a href="https://nam02.safelinks.protection.outlook.com/?url=https://www.roberthalf.cn/en/privacy-statement&amp;data=05|01|[email protected]|45960615caf741a897da08db12e2448b|16532572d5674d678727f12f7bb6aed3|0|0|638124535281002861|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0=|3000|||&amp;sdata=txey6FkFkoVyheBOucHzeYO1yTcFywlr7N4oX7M8axY=&amp;reserved=0">https://www.roberthalf.cn/en/privacy-statement</a> 。请不要在您的简历中向我们提交任何敏感的个人数据（例如身份证号码、种族、性别、宗教、婚姻状况或工会会员身份），因为我们此时不收集您的敏感个人数据。</em></p><img src="https://counter.adcourier.com/ZmFubnkubHVvLjI0Njc3LjEwOTIxQHJoaWNuLmFwbGl0cmFrLmNvbQ.gif">

Data Scientist