About The Company :
Artificial Intelligence powered cognitive digital assistant platform (US patent pending) that understands customer query from natural language and responds with personalised product and process related information, recommendations, process handholding and resolve claims and issues going deep into invoices and CRM. Featured as one of the hottest startups in EU by WIRED magazine and the winner of British Telecoms elighting tomorrows customers award, its clients include top telecoms and banks from Europe and Asia. With offices in Europe, India and San Francisco, the company is seeking to expand its client base in US, Europe and Asia in banking and financial services, telecom and insurance sectors.Specialties-Artificial Intelligence, Customer Service, Enterprise SaaS, Customer Experience

Website:NA

Job Location: Kochi

Desired experience: 3+ Years

Course Specialization: B.E/B.Tech

Target Batch Passout: 2013/2012/2011

Training/Probation Period: None

Salary: INR 5.4 LPA to INR 9 LPA

Bond: None

Tentative date of Joining: Immediate

Tentative date of interview: Will be communicated post registration window is closed

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Last Date to Apply: 23 September 2016

Job Description and Skill Set Required:
- Work Experience in Computational Linguistics & Linguistics Theory.
- Grammar and Rhetoric
- Formal Languages and Transducers
- Information Extraction: Entities, Relations, Events, Time
- Anaphora: Coreference and Similar Phenomena
- Sense Disambiguation
- Context free grammars (Probabilistic CFG)
- Predicate/Argument/Phrase Structure
- Feature Structures and Representing Multiple Phenomena
- Semantics, Pragmatics & Discourse
- Linguistic Data Collection and Analysis and modelling

Nice to have:
- Programming in Java,Python etc.
- Probability Theory ,exposure to Machine Learning Techniques etc.

Interview Process:

- Technical Round.
- Technical Interview
- HR Round