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2.0 - 7.0 years
0 Lacs
karnataka
On-site
Job Description: We are seeking a highly skilled AI Audio/Speech Developer with the ability to work independently and proficiently construct AI/DL models from the ground up. The ideal candidate will demonstrate competency in coding relevant research papers autonomously and possess a solid foundation in NLP & Audio and ML/DL. The successful candidate should possess 2-7 years of overall development experience with a minimum of 2 years dedicated to NLP & Audio and ML/DL. Essential responsibilities will include training, fine-tuning, and optimizing various transformer model variations. Hands-on familiarity with LLM, fine-tuning, and optimization of LLM will be crucial for this role. Required Skills: - Proficiency in Audio & NLP AI Experience - Strong Programming Knowledge in Python, C++ - Hands-on experience with ASR frameworks like Kaldi, DeepSpeech, or Wav2Vec - Understanding of acoustic models, language models, and their integration - Experience in utilizing pre-trained models such as Wav2Vec 2.0, HuBERT, or Whisper - Competence in speech corpora and dataset preparation for ASR training and evaluation - Knowledge of model optimization techniques for real-time ASR applications - Practical experience in LLM fine-tuning, optimization, and performance enhancement Preferred Skills: - Certification in AI Audio related areas - Previous experience in ASR In this role, you will have the opportunity to leverage your expertise in AI Audio/Speech development to contribute to cutting-edge projects and make a significant impact in the field. If you are passionate about innovation and possess the necessary skills, we encourage you to apply for this exciting opportunity.,
Posted 1 day ago
2 - 5 years
4 - 9 Lacs
Bengaluru
Work from Office
Role & responsibilities Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Training, fine tuning and optimization of different flavors of transformer models Hands on experience with LLM, fine tuning and Optimization of LLM Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow/Keras framework Variations of CNN, RNN, Attention Mechanism, Transformers and large models like wav2vec, whisper Proficiency in machine learning/audio pre-processing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features, Numpy, Scipy, Pandas, Matplotlib. Signal Processing fundamentals, understanding the data characteristics and wave signals Transfer Learning Experience in Acoustic models for speech recognition systems. Experience in Voice activity detection with noise analysis & denoising Experience in WakeupWord, ASR Working experience of LLM fine tuning, optimization and performance improvement. Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices Experience in noise augmentation and mixing techniques
Posted 2 months ago
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