Blue First HR Consulting
Location
Bangalore | India
Job description
About the role:
As a Speech Engineer you will play a pivotal role in you will play a pivotal role in the development of our AIdriven speech recognition and language understanding systems. You will be responsible for designing implementing and optimizing speechrelated algorithms and technologies that power our products. This position requires a deep understanding of speech processing machine learning and natural language understanding as well as the ability to work in a collaborative fastpaced and dynamic startup environment.
What you ll do:
Design and implement Hybrid and/or EndtoEnd speech and language processing systems using machine learning and deep learning techniques.
Preprocess annotate and manage large datasets of speech and text for training and testing purposes.
Develop data augmentation techniques to improve model robustness and generalization.
Train and finetune speech recognition and language understanding models.
Implement and experiment with stateoftheart algorithms to optimize model performance.
Conduct rigorous evaluation of speech models and provide insights for model improvement.
Collaborate with product managers and engineers to understand user requirements and provide technical solutions.
Ensure compliance with data privacy and security regulations in projects.
Stay updated with stateoftheart techniques in the Speech Recognition field and exchange knowledge with colleagues.
Coordinate with internal teams to translate business challenges into data pipelines and model frameworks.
Document research findings methodologies and implementation details.
Communicate progress and results to the team and stakeholders effectively.
What we re looking for:
A Masters or Ph.D. in Computer Science Electrical Engineering or a related field from a leading research institutes.
Strong working experience in building speech technologies like Automatic Speech Recognition (ASR) Multilingual Speech Recognition Diarization Language Model Pronunciation Model Audio classification.
Handson experience in building Hybrid speech recognition systems like GMMHMM DNNHMM
Handson experience in building endtoend speech recognition systems using the latest architectures like wav2vec2 HuBERT Whisper LAS.
2 years of handson experience in speech processing frameworks such as Kaldi Espnet Speechbrain etc.
Experience with machine learning and deep learning libraries such as Scikit Learn TensorFlow or PyTorch.
Strong programming experience in languages like Python C/C Shell scripting etc.
Experience contributing to research communities including publications at conferences and/or journals (a plus)
speech recognition,machine learning,speech,learning,data,algorithms
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