26.4440, Jobs: English; Computational Linguistics; Morphology; Phonetics; Pragmatics; Semantics; Syntax; Text/Corpus Linguistics: Technical Solutions Knowledge Engineer

Thu Oct 8 17:16:22 UTC 2015

LINGUIST List: Vol-26-4440. Thu Oct 08 2015. ISSN: 1069 - 4875.

Subject: 26.4440, Jobs: English; Computational Linguistics; Morphology; Phonetics; Pragmatics; Semantics; Syntax; Text/Corpus Linguistics: Technical Solutions Knowledge Engineer

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Date: Thu, 08 Oct 2015 13:16:12
From: Francesca Sciarra [francesca.sciarra at artificial-solutions.com]
Subject: English; Computational Linguistics; Morphology; Phonetics; Pragmatics; Semantics; Syntax; Text/Corpus Linguistics: Technical Solutions Knowledge Engineer, Berkshire, United Kingdom

University or Organization: Artificial Solutions 
Department: Professional Services
Job Location: Berkshire, United Kingdom (Telecommute)
Web Address: http://www.artificial-solutions.com/
Job Title: Technical Solutions Knowledge Engineer
Job Rank: Knowledge Engineer, Technical Solutions, Computational Linguist; Other; Programmer

Specialty Areas: Computational Linguistics; Morphology; Phonetics; Pragmatics; Semantics; Syntax; Text/Corpus Linguistics 

Required Language(s): English (eng)

Description:

As a Knowledge Engineer you are a technical expert with strong knowledge in the structure of language and its application to computers systems. You are commercially aware and have the ability to visualize articulated processes and solve complex problems.

You will be focus on design, build, and develop knowledge-based solutions, in domains such as Natural Language Interaction (NLI), Artificial Intelligence, Natural Language Processing and Machine Learning. 

The Knowledge Engineer is expert on Artificial Solutions’ knowledge solutions and devises technical presentations of Artificial Solutions product range to client’s workshops, trials and sales meetings.

You will be reporting to the VP Delivery - Consumer Devices and will be working in a team of skilled and driven multicultural Knowledge Engineers and Presales Engineers. 

The position will focus upon:

- Participates in client workshops, discussing knowledge and technical requirements.
- Working with the grammar of English language (syntax and semantic aspects) to structure and code the knowledge base of our NLI solutions.
- Design, build, and test knowledge and NLI solutions based on functional knowledge specifications.
- Analyze logs during operations to define knowledge optimization options and implement during ongoing knowledge development optimization.

Requirements: 

Education: 

- BA in Computational Linguistic, Language Technologies or similar. 

Linguistics and computational linguistics knowledge and skills:

- Knowledge in structural aspects of language (Formal syntax, Formal Semantics, Corpus analysis, Dialogue management)
- Excellent programming skills in C++/Java, Python including object-oriented analysis and design
- Knowledge of Morphology, Lexicology, Phonetics, Pragmatics, Automated speech analysis and synthesis.
- 1+ year relevant industry experience in a customer facing role. 
- Understanding of Statistics (preferably applied to natural language analysis) / Mathematics, Machine learning, Machine translation, Computer aided language learning – in combination with language studies or interest in language itself - will be a plus.

Language skills:

- Native or Near Native English
- Any additional language is a plus

Personal Skills:

- Strong logical and analytical skills, being able to deal with complex and abstract concepts 
- Demonstrated ability to analyze problems to identify the root cause
- Proven customer facing skills and ability to interact and communicate effectively with stakeholders at different levels
- Capability for identifying needs and business value solutions for the clients
- Professional attitude, detail-oriented and organized
- Ability to work well both alone and within a larger team
- Flexible and open-minded, pragmatic and proactive approach
- Ability to work in multi-functional teams
- Ability to combine multiple task and projects

What we Offer:

- Outgoing, flexible and international work environment
- Competitive base salary plus an interesting packaging along with a healthy work-life balance
- Full training in our Teneo platform and continuous learning in the red hot sector of Artificial Intelligence and NLP.

Please send us your CV and cover letter to the application email below or apply directly to our career page.

Application Deadline: 31-Dec-2015 (Open until filled)

Email Address for Applications: francesca.sciarra at artificial-solutions.com 
Web Address for Applications: http://www.artificial-solutions.com/about-artificial-solutions/careers/ 
Contact Information:
	HR Generalist Francesca Sciarra 
	Email: francesca.sciarra at artificial-solutions.com 
	Phone: +34 93 245 13 01 

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