As a MQA Intern focusing on data analysis and optimization, you will work closely with the team to understand data-driven challenges and analysis needs. Our primary focus is developing applications such as algorithms research, workflow optimization, predictive analytics, and other data-driven tools that empower the MQA team to streamline workflows, enhance efficiency, and reduce costs. Your contributions will directly impact the success of our projects, and your innovative thinking will help shape the future of AI in the manufacturing industry.

Minimum Qualifications

Foundational knowledge in mathematics and statistics is required.

Working knowledge of Python and experience in data analysis, anomaly detection, and commonality analysis.

Strong understanding of robotic process automation (RPA) & machine learning (ML) methodologies.

Familiarity with ML frameworks like TensorFlow or PyTorch for developing and deploying models.

Preferred Qualifications

Demonstrated experience in developing and deploying RPA solutions, specifically using Python libraries such as Selenium for web automation and data extraction.

Proficiency in the Python data science ecosystem, with strong hands-on experience in Scikit-learn for model building and familiarity with AutoML tools or platforms.

Understanding of the manufacturing industry and its challenges is a plus.

Experience with cloud-based computing platforms like AWS/GCP/Ali-Cloud is a plus.

Strong problem-solving and analytical skills, with a focus on real-world applications.

Excellent communication and collaboration skills, able to work effectively in a team environment.