About our group:

About the role - you will:

• Develop AI-driven solutions for anomaly detection in manufacturing processes
• Work closely with mentors to develop automated root cause analysis solutions for drift anomalies in complex hard drive manufacturing processes
• Assist in the design and development of advanced drift detection techniques, both univariate and multivariate, tailored for tabular and time series datasets.
• Explore various algorithms to ensure the detection techniques are robust and reliable across different data scenarios
• Refine and optimize detection techniques to meet production deployment requirements, focusing on practical constraints such as the need to process millions of records in batch mode using reasonable computing resources #internship

About you:

• Ability to drive initiatives and influence outcomes
• Positive attitude and problem-solving mindset
• Strong organizational and time management skills
• Collaborative and adaptable in a team environment

Your experience includes:

• Proficient in Python and Machine Learning
• Strong data analysis skills are essential
• Currently pursuing a bachelor's degree in Data Science, Statistics, Computer Science and Engineering, or a related field
• Experience with data science and AI technologies through past projects is a plus

Location: