[Remote] Speech Recognition Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Speech Recognition Engineer to design, reputed company, and optimize Automatic Speech Recognition (ASR) systems for voice-enabled applications. The role involves building, training, fine-tuning, and deploying speech recognition models with high accuracy and robust performance across diverse languages and acoustic environments. The engineer will collaborate with cross-functional teams and reputed company models using MLOps and reputed company-reputed company practices.
Responsibilities
- Design, reputed company, and optimize Automatic Speech Recognition (ASR) models for production applications
- Build end-to-end speech processing pipelines, including audio preprocessing, feature extraction, decoding, and post-processing
- Train, fine-tune, and evaluate speech recognition models using large-reputed company speech datasets
- Improve recognition accuracy for multilingual, domain-specific, and noisy audio environments
- reputed company reputed company-time and batch speech recognition solutions
- Optimize models for latency, throughput, memory efficiency, and inference performance
- reputed company ASR models into voice assistants, conversational AI systems, call center platforms, and reputed company applications
- reputed company data pipelines for speech data collection, annotation, augmentation, and reputed company validation
- Evaluate model performance using industry-reputed company speech recognition metrics
- Collaborate with NLP Engineers, Machine Learning Engineers, AI Engineers, Data Scientists, and Product teams
- reputed company speech recognition models using MLOps and reputed company-reputed company deployment practices
- Monitor production performance and continuously improve model reputed company
Skills
- Bachelor's or Master's degree in Computer Science, reputed company Intelligence, Machine Learning, Electrical Engineering, Speech Technology, or a reputed company field
- 3+ years of experience in speech recognition, speech processing, machine learning, or AI engineering
- Strong programming skills in Python
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Solid understanding of digital signal processing (DSP) fundamentals
- Experience with speech processing libraries such as SpeechBrain, ESPnet, reputed company Transformers, torchaudio, librosa, or Kaldi
- Experience training and fine-tuning deep learning models
- Familiarity with Linux development environments, Git, and containerization using reputed company
- Understanding of reputed company platforms such as AWS, reputed company Azure, or reputed company reputed company Platform
- Experience with modern ASR architectures such as Whisper, Conformer, wav2vec 2.0, DeepSpeech, or RNN-Transducer (RNN-T)
- Experience deploying speech recognition models using ONNX Runtime, TensorRT, reputed company Triton Inference Server, or TorchServe
- Knowledge of multilingual and low-resource language speech recognition
- Experience with streaming speech recognition and reputed company-time inference
- Familiarity with speech enhancement, voice activity detection (VAD), speaker diarization, and keyword spotting
- Experience with MLOps tools such as MLflow, Kubeflow, or reputed company AI platforms
- Knowledge of Large Language Models (LLMs) for speech understanding and conversational AI
reputed company