CONTINUOUS IMPROVEMENT ANALYST IV

Job Overview

TE Connectivity's Continuous Improvement Teams design and implement programs and projects to improve products, services, or processes aligned with business strategies. They coach teams; establish program performance metrics; and establish process excellence supports.

Play a key role on digital factory development and Foster the exploration of AI applications across various departments and enhance our data analytics capabilities with the objective of meeting Qingdao factory's cost reduction target requirements within Qingdao plant strategy and plan.

Policies and Procedures
Execute TE's TEOA policies, procedures and systems in order to provide working guidelines and direction.

Digital Factory Corporate Application Deployment
(i)Responsible for the implementation and deployment of corporate-developed applications within factory settings, ensuring seamless integration and operation.
(ii)Continuously improve and optimize the performance of applications based on user feedback and system analytics.

Digital Factory Local Application Development
(i)Design, develop, and maintain digital factory applications that improve operational efficiency and support business growth within our manufacturing facilities.
(ii)Collaborate with cross-functional teams to understand and translate business requirements into technical solutions that drive process optimization and innovation.

AI Model Development
(i) Seamless colloboration with corporate AI teams to design and develop advanced AI models and tailored to specific business problems or application requirements.
(ii) Conduct research on the latest AI techniques and algorithms to continuously improve the performance and accuracy of existing models.

AI Model Deployment and Maintenance
(i)Oversee the deployment of AI models from development environments to production environments, ensuring a smooth transition and minimal disruption to business operations.
(ii)Set up monitoring and alert systems to detect and respond to any issues that may arise during the operation of the AI systems.
(iii)Provide ongoing maintenance and support for deployed AI models, including updating and retraining as needed to adapt to changing business conditions or data characteristics.

Collaboration and Communication
(i)Work closely with cross-functional teams including data scientists, software engineers, product managers, and domain experts to define project requirements and deliverables.
(ii)Communicate technical findings and progress to non-technical stakeholders in a clear and understandable manner.
(iii)Participate in team meetings, code reviews, and knowledge sharing sessions to contribute to the overall team development.
 

What your background should look like:

Bachelor's or higher degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in developing digital factory and AI models, preferably in a professional setting.
Strong programming skills in languages like Python, Java, etc., with experience in relevant AI libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
Solid understanding of data analysis and processing techniques.
Ability to stay updated on the latest industry trends and apply them to work.
Skilled on oral English as working language.
Good communication skills to work effectively with cross-functional teams.

Competencies