[Elsnet-list] Job opportunity: Software Engineer in QCRI
Ahmed M. Ali
amali at qf.org.qa
Thu Apr 4 22:25:22 CEST 2013
The Arabic Language Technology team at QCRI is looking for an experienced software engineer to work on the QCRI Arabic Broadcast transcription system (see About QCRI, below).
QCRI has developed a prototype Arabic Broadcast Transcription System using Arabic Automatic Speech Recognition technology. With the growing demand and rapid need to deploy it for our partners, we need to build enterprise level solution with scalability in mind. We are looking for a software developer with both ASR experience and an engineer’s mindset.
DESCRIPTION OF ROLE
You will work, jointly with the QCRI team, on architecture design of the parallel and asynchronic framework to achieve both reliability and scalability. You will provide solutions to monitoring and continuously improving the performance of our system.
Our unique set-up and breadth of technology makes this a stimulating challenge, also certainly an excellent career development opportunity.
We are looking for a self-motivated and experienced software engineer, who enjoys working in the dynamic and flexible environment of successful and growing start-up teams.
Degree in Computer Science or related field
Excellent programming skills in at least one of the following (C, C++, Java) and one of the scripting languages (Python, Perl, Bash),
Familiar with the Linux environment
Experience in large scale system development, including managing the entire software development cycle (design, implementation, test and release)
Experience with source control systems, build tools, software development toolkits
5+ years experience in commercial or relevant academic environments
Understanding large scale automatic speech recognition system
Problem solving skills with a mindset of getting things done
Experience in development and/or deployment of a speech recognition solutions, with emphasis on language pack modelling, dictionary tuning, grammar development, audio signal processing / codec experience...etc.
Have worked on live application or service that includes speech recognition
Experience working with one of the following open source ASR tool kit; HTK, Sphinx or Kaldi
Degree in speech, computational linguistics, natural language processing, signal processing
Experience with the different aspects on development of client and server side J2SE applications
Experience with storage architectures including NoSQL, Hadoop, Cassandra
Experience with iterative development and agile methodologies
Preferably have worked in a start-up environment
QCRI is a recently established research center located in Doha, Qatar, and is part of Qatar Foundation.
Research areas at QCRI include Arabic language technologies, social computing, data analytics, cloud computing, and scientific computing.
QCRI strives to become the regional and global leader in Arabic language technologies – in the areas of search, information retrieval and analysis, multilingual language processing,
advanced machine translation, speech recognition, video search, and is also leading efforts to increase and enrich Arabic language content online.
QCRI is an equal opportunities employer.
Please send to: amali at qf.org.qa<mailto:amali at qf.org.qa> / svogel at qf.org.qa<mailto:svogel at qf.org.qa>
Also, you can apply here: http://qcri.qa/join-us/apply-now/apply-now
For more information, please visit:
This email and any attachments transmitted with it are confidential and intended for the use of individual or entity to which it is addressed. If you have received this email in error, please delete it immediately and inform the sender. Unless you are the intended recipient, you may not use, disclose, copy or distribute this email or any attachments included. The contents of the emails including any attachments may be subjected to copyrights law, In such case the contents may not be copied, adapted, distributed or transmitted without the consent of the copyright owner.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Elsnet-list