Company Profile:

Life at Ford goes beyond just work For instance as a committed employer of choice for people of diverse background there are unique efforts that you get to experience at Ford such as being part of employee resource groups that work towards inclusiveness Also ‘Feel like a Family’ is not just in words but in spirit that you get to experience at Ford

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:

Area 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.