上海 KDi- 数据科学家

Responsibility
o Collaborate with PO (Project owner) to deliver the modelling solution & Result t to fulfill the business scenarios
o Responsible for the end-to-end model development
o Research on advanced modelling &Al technologies and apply/test them in the modelling projects
o Closely work with machine learning engineer (vendor), also validate the work to complete model deployment and MAss (model as service) process

Project management
o 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)
o Work with Po to support business scenarios(LLM models+ Agent design)
o Work with Tech to support on LLM arch structure (Model as service)
o Other potential tasks
MultiModel research, test and apply on business scenarios
Ali tongyitingwu (audio detect emotion) research, test and apply on business scenarios

Requirements
o Bachelor's degree or above, major in data science, computer science, statistics or data science related majors; Master preferred
o 6-10 years of experience as a data scientist/analyst
o Sufficient coding skills, Python and sQL is a must; better can write other programming languages such as Java
o 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)
o Strong knowledge and hands-on experience on LLM models, such as LLM model fine tuning, vectorization, Lang chain development
o Strong knowledge and hands-on experience on model deployment and release (model as service)
o 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
o English required (speaking and writing)