At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. We are seeking an experienced and innovative professional to lead our advanced AI initiatives in the field of injection molding.
Job Overview
Our Engineering Project Management Teams manage cross functional engineering projects. They work with Product Management, Sales, Quality, Manufacturing, Finance, and other functions across TE to assure projects meet financial, schedule and customer expectations. They are responsible for defining and creating project schedules, portfolio management, communication and execution of programs, identifying resource constraints and working with management for resolution, while adhering to LeanPD processes.
Key Responsibilities:
* Lead the AI projects, providing strategic direction and technical expertise.
* Develop and implement a roadmap for AI integration in injection molding processes.
* Collaborate with senior management to align AI initiatives with overall business objectives.
AI Development and Implementation:
* Design, develop, and deploy AI models to optimize injection molding processes, including predictive maintenance, quality control, and process optimization.
* Implement machine learning algorithms to analyze production data and identify patterns for process improvement.
* Connect and integrate AI solutions with existing manufacturing systems and workflows.
Project Management:
* Manage multiple projects simultaneously, ensuring timely delivery and alignment with project goals.
* Cross-functional teams coordination including engineering, production, and IT to ensure successful project execution.
* Monitor project progress, identify potential risks, and implement mitigation strategies.
Research and Innovation:
* Stay updated with the latest advancements in AI and machine learning technologies.
* Drive innovation by researching and recommending new AI technologies and methodologies applicable to injection molding.
* Foster a culture of continuous improvement and innovation within the team.
Data Management:
* Oversee the collection, storage, and analysis of large datasets from injection molding processes.
* Ensure data integrity and security while enabling data-driven decision-making.
* Document best practices.
Training and Support:
* Provide training and support to team members and stakeholders on AI tools and methodologies.
* Conduct workshops and collaborate with the Global COI AI to promote AI literacy and adoption within the organization.
* Mentor and share knowledge internally to enhance AI capabilities among engineers and data scientists.
What You Need to Succeed
You will need a Master's degree in Computer Science, Engineering, Manufacturing, Data Science, or a related field.
Experience in Data science, AI, and machine learning is essential, as well as at least 5 years of experience in the manufacturing sector, preferably in injection molding.
A proven track record of leading and delivering successful AI projects is also required.
Strong programming skills in languages like Python, R, or Java, along with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, are necessary.
Knowledge of injection molding processes and related manufacturing technologies is also beneficial.
Familiarity with data analytics tools and platforms (e.g., SQL, Hadoop, Spark) is highly desirable.
Excellent leadership, problem-solving, analytical, communication, and presentation skills are also essential.