What You Bring Advanced degree (M.Sc. or Ph.D.) in Physics, Electrical Engineering, Computer Science, Mathematics, or a related quantitative field. Over 4+ years of experience, demonstrated expertise in DSP-based methods (e.g., STFT, FFT, Hilbert, Wavelet, etc.), to extract features and anomalies from the data. Over 2 years of professional experience in ML/AI, with a proven track record in modeling and analyzing complex time-series data. Proven technical leadership experience in large-scale, multidisciplinary projects. Hands-on experience working with real-world physical data and sensor signals. High proficiency in Python for the full development lifecycle, including model deployment and performance monitoring. Ability to independently research, architect, and implement innovative technological solutions. Prior experience in the industrial or manufacturing sector is
