Company Profile:

Job description:

A detailed job description• Understanding the Business problem and formulating the analytical problem
• Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
• Develop NLP models to process text in different languages (German, Chinese, Spanish, Portuguese and more)
• Train, tune, validate, and monitor predictive models
• Analyze and extract relevant information from large amounts of Ford’s historical business data, both in structured and unstructured formats
• Establish scalable, efficient, automated processes for large scale data analyses
• Work with data in the Hadoop environment and data manipulation through Ambari/Hive.Skills - List as many as possibleArea of professional exposure (functional/technical skills) :
- Python
- Natural Language Processing
- • Experience with SQL database and Hadoop Ecosystem
• Good exposure to 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
• Knowledge of Spark, MLlib, Graph databases is a Big Plus
• Familiarity with any one programming (e.g., C/C++/Java) or scripting (R/Python) languages. Python preferred.
Functional skills :
• Excellent problem solving, communication, and data presentation skills
• Flexibility to work on multiple projects/domains/tools
• Collaborative skills to work with business teams.