Manufacturing Quality Assurance Intern

Apple

6d

About The Position

The Manufacturing Quality Assurance Intern will focus on data analysis and optimization, working with the team to understand data-driven challenges and analysis needs. The role involves developing algorithms, optimizing workflows, creating predictive analytics, and building other data-driven tools to help the Manufacturing Quality Assurance team streamline workflows, improve efficiency, and reduce costs.

The intern will build solutions for manufacturing process automation and intelligent decision-making using Robotic Process Automation (RPA) and Machine Learning (ML). This includes designing automated workflows for supply-chain data collection and operations, developing and deploying ML models for predictive applications such as root cause analysis and anomaly detection, and using AutoML frameworks to speed up model development, selection, and tuning. The intern is also expected to keep up with developments in RPA, machine learning, and automation technologies and propose solutions to manufacturing challenges.

Requirements

• Foundational knowledge of mathematics and statistics.
• Working knowledge of Python and experience in data analysis, anomaly detection, and commonality analysis.
• Strong understanding of RPA and ML methodologies.
• Familiarity with ML frameworks such as TensorFlow or PyTorch for model development and deployment.
• Demonstrated experience developing and deploying RPA solutions, particularly with Python libraries such as Selenium for web automation and data extraction.
• Proficiency in the Python data science ecosystem, including hands-on experience with Scikit-learn for model building.
• Strong problem-solving and analytical skills focused on real-world applications.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Nice To Haves

• Familiarity with AutoML tools or platforms.
• Understanding of the manufacturing industry and its challenges.
• Experience with cloud-based computing platforms such as AWS, GCP, or Ali-Cloud.

Responsibilities

• Work with the team to understand data-driven challenges and analysis needs.
• Develop applications and tools for algorithm research, workflow optimization, predictive analytics, and other data-driven uses.
• Build solutions for manufacturing process automation and intelligent decision-making using RPA and ML.
• Design and develop automated workflows using RPA tools, particularly Python and Selenium, to streamline supply-chain data collection and operational processes.
• Stay current with advancements in RPA, machine learning, and automation technologies; prototype and propose solutions to manufacturing challenges.
• Develop and deploy ML models using libraries such as Scikit-learn for predictive applications, including root cause analysis and anomaly detection.
• Use AutoML frameworks to accelerate model development, selection, and tuning for rapid deployment of high-performing ML solutions.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed