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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 26th Apr 2025

Proficiency in Python for data analysis and algorithm development.

Experience working with Industrial sensor systems and using time series Analysis to predict failures/anomalies.

Experience working with key techniques listed here: segmentation, anomaly detection, change point detection Solid understanding of machine learning algorithms (e.g. scikit-learn) and statistical methods.

Experience with data visualization tools (e.g., Matplotlib, Seaborn) to communicate insights effectively.

Experience working with REST API and ORCL data systems

Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy).

Strong problem-solving skills and attention to detail.

Excellent communication skills, both written and verbal.

Preferred Skills:

Experience in semiconductor manufacturing or a related industry.

Techniques like Dynamic time warping, PCA, Sensor fusion etc would be highly desirable Understanding of statistical process control (SPC) and quality control methodologies. Experience with version control systems, such as Git.

Knowledge of database management systems (e.g., SQL) and data warehousing solutions.

Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced anomaly detection. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).