Speech Engineering Jobs in Bangalore - Gnani.ai
Job Description
About the internship
Selected intern's day-to-day responsibilities include:
1. Work on developing algorithms in multilingual speech recognition and synthesis
2. Develop and take to production on critical real-world scenarios like wake-up word detection, noisy channel ASR performance, and multi-speaker detection
3. Work in a highly collaborative environment with teams to deliver systems from prototyping to production level
1. Work on developing algorithms in multilingual speech recognition and synthesis
2. Develop and take to production on critical real-world scenarios like wake-up word detection, noisy channel ASR performance, and multi-speaker detection
3. Work in a highly collaborative environment with teams to deliver systems from prototyping to production level
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 2nd Feb'21 and 9th Mar'21
3. are available for duration of 3 months
4. have relevant skills and interests
Other requirements
1. Master's/bachelor's degree with a focus on CS, machine learning, and signal processing
2. Strong knowledge of ML problems and hands-on experience in relevant projects
3. Knowledge of machine learning platforms such as TensorFlow, Pytorch, and solid programming development skills (Python, C/C++, etc.)
4. Experience contributing to research communities including publications at conferences and/or journals
Perks
Number of openings
5
Certificate: Will be provided at the end of the Internship
Job Particulars
Role engineer core non it
Education BE/B.Tech, Other Course
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1109868
Job Category Core Technical
Locality Address
State Karnataka
Country India
About Company
About Gnani.ai
We are an artificial intelligence company looking for the best technology talent in the industry. We are working on speech technology for Indian languages to naturally control machines.
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