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Siemens

Responsibilities:
• Implement advance methodologies available in  statistical Inference, Machine Learning and Data Science fields for simulation, analysis and optimization of various Siemens components and Systems.
• Understand the underlying Mathematics / Statistics in various ML algorithms and code them using standard languages for their application
• Strong competence and hands-on experience in the analysis of time series data
• Exposure to finite element analysis, component life analysis involving fatigue, creep and fracture is an added advantage.
• Exposure to probabilistic design and advanced probabilistic analytics, Bayesian statistics are good to have.
• Build ‘Proof of Concept’ (PoC) applications using suitable in-house & 3rd party tools & technologies

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