Senior AI/ML Engineer (Speech processing) @ Amritapuri - Amrita Vishwa Vidyapeetham

Senior AI/ML Engineer (Speech processing) @ Amritapuri

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Senior AI/ML Engineer (Speech processing)

For Details Contact: csjobs@am.amrita.edu

Job Title	Senior AI/ML Engineer (Speech processing)
Location	Kollam, Kerala
Required Number	1
Qualification	Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 2+ years of experience in Speech/Audio Processing. Proficiency in Python, with experience using frameworks like TensorFlow, PyTorch, or Kaldi. Strong understanding of speech processing fundamentals and familiarity with ASR models like ESPNET / FairSeq / Athena / Deep Speech. Hands-on experience with current deep learning (DL) techniques like Convolutional neural networks (CNNs), Transformers, connectionist temporal classification (CTC), etc used for speech processing is essential. Experience with deploying and optimizing audio models on cloud platforms. Ability to implement state-of-the-art deep learning architectures as outlined in research papers Preferred Qualifications Experience with real-time audio processing. Background in optimizing ML models for speed and accuracy in audio applications and different hardware platforms. Familiarity with Docker, Git, ML Tracking/Visualization tools like Neptune.ai or Tensorboard Experience in the conversion of models to formats that are compatible with mobiles.
Job Description	We are seeking an experienced Senior AI/ML Engineer specializing in speech processing to contribute to our speech-to-text and audio analysis initiatives. You will work on developing robust solutions that convert and interpret audio data with high accuracy.
Key Responsibilities	Design, develop, and optimize ML models for speech recognition and audio processing. Large-scale video dataset creation (i.e. defining the dataset statistics) for training AI models. Deploy, monitor, and optimize models for real-world performance. Keep updated with the latest research and technology advancements in speech processing.
Required Qualifications	Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 2+ years of experience in Speech/Audio Processing. Proficiency in Python, with experience using frameworks like TensorFlow, PyTorch, or Kaldi. Strong understanding of speech processing fundamentals and familiarity with ASR models like ESPNET / FairSeq / Athena / Deep Speech. Hands-on experience with current deep learning (DL) techniques like Convolutional neural networks (CNNs), Transformers, connectionist temporal classification (CTC), etc used for speech processing is essential. Experience with deploying and optimizing audio models on cloud platforms. Ability to implement state-of-the-art deep learning architectures as outlined in research papers Preferred Qualifications Experience with real-time audio processing. Background in optimizing ML models for speed and accuracy in audio applications and different hardware platforms. Familiarity with Docker, Git, ML Tracking/Visualization tools like Neptune.ai or Tensorboard Experience in the conversion of models to formats that are compatible with mobiles.
Job Category	Project
Last Date to Apply	DEcember 31, 2024

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