Job Location: Chennai
Job Description & Qualifications
- 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
- Package and present the findings and communicate with large cross-functional teams
Auto req ID
56864BR
Entity/Organization
FGBS- Ford Global Business Services
Area of professional exposure (technical skills)
- M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
- 5+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms
- 5+ years of experience in at least one of the following languages: Python, R, MATLAB, Java, C/C++/C#, SAS
- Experience with NoSQL database and Hadoop Ecosystem especially handling connected vehicle data
- Hands-on experience in connected vehicle data, knowledge of Spark, MLlib, and Graph databases is a big plus
- Excellent problem solving, communication, and data presentation skills
Education Qualifications
B.E., B.Tech., MBA
No. of years of experience
1 to 3 years
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