Machine Learning & Data Analysis Graduate Intern

Contribute to data analysis of NeoSpectra production statistics.

• Build an automated dashboard interface for data analysis of NeoSpectra performance parameters from core technology level to product level, stored in a global database.
• Detect measurement outliers and correct systematic variations using machine learning techniques.
• Support creating an automated testing software for core technology components.
• Create smart image processing screening software for NeoSpectra components.
• Contribute in building an automated chemometric-based data analysis platform for NeoSpectra products.
• BSc in Computer Science, Computer Engineering, Electronics & Communication Engineering or any relevant degree with at least “Very Good” grade or equivalent GPA of 3, with 0-3 years’ experience.
• Very good understanding of data analysis and machine learning fundamentals.
• Strong technical background in DSP and image processing techniques.
• Familiarity with Python, Excel, Octave and MATLAB.
• System-level experience in previous projects is a plus.
• Experience in Chemometric and Spectroscopy is a plus.
• Self-starter with demonstrated quantitative analysis and problem solving skills.
• Able to proactively communicate with different teams and work under pressure.