Lead and manage the company's core engineering team to drive innovation and adoption of artificial intelligence and machine learning technologies.Responsible for the design and development of efficient and scalable machine learning platforms and tools, including Automated Machine Learning (AutoML), Deep Learning, and Distributed Computing solutions.Work closely with data scientists, product managers, and business teams to ensure product development meets customer needs and stays abreast of market trends.Drive the company's open source culture and actively participate in open source community projects to improve the openness and accessibility of technology.Make significant progress in the development of the Salesforce platform, optimizing its application scenarios in customer management and business processes.Led teams to successfully deliver multiple complex technology projects that have dramatically improved decision-making efficiency and business intelligence for enterprise customers.Specialized in machine learning, deep learning, cloud computing and big data analytics with extensive technical leadership and project management experience.

Design, implement and optimize machine learning algorithms and models, including supervised learning, unsupervised learning, reinforcement learning, etc.Research and apply the latest artificial intelligence and machine learning techniques to improve the performance, efficiency and accuracy of algorithmic models.Perform data analysis and feature engineering to provide high quality data inputs for algorithmic models.Design and implement methods and tools for model evaluation and tuning to ensure the quality and reliability of algorithmic models.Collaborate with data engineers, data scientists, and software engineers to integrate algorithmic models into the Salesforce platform and provide related technical support.Analyze and solve problems and challenges in the real-world application of algorithmic models, and continuously improve and optimize the performance and effectiveness of algorithmic models.Track and understand the latest developments and trends in the field of Artificial Intelligence and Machine Learning, and continue to learn and enhance professional competencies.

Design and implement data pipelines and ETL (Extract, Transform, Load) processes to extract, transform and load data from multiple data sources.Build and maintain large-scale data warehouses and data lakes to support the development and deployment of data analytics and machine learning models.Develop and optimize data processing and transformation algorithms and tools to ensure efficient data processing and quality assurance.Design and implement data models and data architectures to support the Data Science and Machine Learning teams.Perform data cleansing, pre-processing and normalization to ensure data consistency, accuracy and completeness.Collaborate with data science teams, software engineering teams, etc. to solve data related technical challenges and issues.Monitor and maintain the operational status and performance of the data pipeline, identify and resolve issues and exceptions in data processing in a timely manner.Train and mentor junior data engineers, share best practices and technical experience, and improve the overall competency level of the team.

Participate in requirements analysis and design of software products and work with teams to develop technical solutions.Perform software development using programming languages and technology stacks (e.g. C++, Java, Python, etc.) and write high quality code.Execute unit, integration and system tests to ensure that the software functions properly and meets the requirements.Participate in software performance optimization and debugging, and resolve issues and bugs encountered during development.Work closely with the product team, design team, test team, etc. to ensure that software features, interfaces and performance meet the expected goals.Continuously learn and explore new technologies and tools to improve personal technical level and team development efficiency.

Participate in demand analysis and design of software products, and work with the team to develop appropriate technical solutions.Use programming languages and technology stacks (such as C++, Java, Python, etc.) for software development and write high-quality code.Carry out unit testing, integration testing and system testing of software to ensure that the software functions normally and meets requirements.Participate in software performance optimization and debugging, and solve problems and bugs encountered during software development.Work closely with other teams (such as product team, design team, testing team, etc.) to ensure that the functions, interfaces and performance of software products meet expected goals.Continuously learn and explore new technologies and tools to improve your own technical level and the development efficiency of your team.