AI Tech Lead

上海全职 RMB700,000 - RMB900,000 年薪 查看职位描述

职责描述
职位概要
类似职位

Opportunity to lead AI innovative projects in a renowned industrial company
Work in a collaborative environment in Shanghai.

关于我们的客户

The employer is a well-established organisation within the industrial and manufacturing industry. They are known for their innovative approach and commitment to leveraging technology to maintain their position as a key player in the field.

职责描述

Lead the design, development, and deployment of AI solutions to enhance operational efficiency.
Collaborate with cross-functional teams to identify opportunities for AI integration.
Oversee data collection, preparation, and analysis to support AI initiatives.
Ensure AI models are scalable, robust, and aligned with business goals.
Stay updated on the new advancements in AI and related technologies.
Develop strategies for continuous improvement in AI applications within the industrial and manufacturing sector.
Communicate project progress and results to stakeholders in Shanghai and beyond.
responsible for design, build, deployment and maintenance of tailor-made and/or software packages or the adaptation of existing ones
Continuous study, analyze and manage the code, scripts, and other assets, and ensure compatibility with overall product and architecture strategy
Ensure code quality (Readability, Maintainability, Efficiency, Reliability, Testability) by defining and cascading developer guidance, proceeding code review.
Promote engineering AI practices within the team to improve development efficiency and code quality.
A degree in a relevant field such as computer science, engineering, or similar.

理想的求职者

Bachelor's degree or higher in Computer Science or a related discipline.
5+ years in software engineering with hands-on expertise in AI-driven or data-intensive applications.
Proficient in both spoken and written English and Chinese.
Demonstrated ability to design and deliver end-to-end, production-grade AI system solutions.
Strong proficiency in Python, applying practices such as modular design, DRY principles, and testability.
Practical experience with AI development frameworks like LangChain, LangGraph, or similar orchestration tools.
Solid understanding and hands-on experience with Elasticsearch, Redis, Kafka, Kubernetes, CI/CD pipelines, Exceptional problem-solving and analytical capabilities, with a proven record of addressing complex technical challenges.
Familiarity with major foundation models and the ability to assess AI component suitability is a plus