Posted:15 hours ago|
Platform:
On-site
Part Time
Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.
BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
Build data-driven models to understand the characteristics of engineering systems
Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
Train, tune, validate, and monitor predictive models
Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats
Establish scalable, efficient, automated processes for large scale data analyses
Ford Motor Company
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