AI Engineer_Audio

Job Title: AI Engineer_Audio Company: LG Soft India Job Category: Machine Learning Roles & Responsibilities: Job Description Job Description (JD) – Research Engineer / Senior Research Engineer, Audio AI ================================================================================= The role involves designing, developing, training, fine\-tuning, and optimizing Audio AI models for real\-world product applications. The candidate will work on speech and audio technologies including Wake Word Detection, Automatic Speech Recognition (ASR), Voice Activity Detection (VAD), Acoustic Modeling, Audio Denoising, and Noise Analysis while leveraging modern deep learning architectures such as CNNs, RNNs, Transformers, Large Audio Models, and Large Language Models (LLMs). The candidate should be capable of implementing research papers, developing models from scratch, optimizing model performance, and supporting deployment on product and edge\-device environments. Key Responsibilities ------------------------ ### Audio AI Research \& Development * Design, develop, train, and fine\-tune Audio ML/DL models based on product requirements. * Build Audio AI models from scratch for new product use cases. * Study, implement, and evaluate state\-of\-the\-art research papers. * Apply transfer learning techniques to improve model performance. * Optimize models for accuracy, latency, memory utilization, and runtime efficiency. * Perform model benchmarking, performance validation, and comparative analysis. * Develop and optimize solutions for: + Wake Word Detection + Automatic Speech Recognition (ASR) + Voice Activity Detection (VAD) + Acoustic Modeling + Noise Analysis + Audio Denoising * Analyze audio data characteristics, waveform behavior, and signal quality. * Develop audio preprocessing and feature extraction pipelines. * Implement noise augmentation and audio mixing techniques. * Optimize Audio AI models for deployment on edge and embedded devices. * Support model integration into production environments. * Work with software and embedded teams to ensure successful deployment. * Implement model compression and optimization techniques for resource\-constrained systems. * Work closely with AI researchers, software engineers, embedded teams, and product stakeholders. * Convert research concepts into scalable product\-level solutions. * Support system integration, troubleshooting, and production validation activities. Work Location: Karnataka, India Availability: Full time

Experience: 2 \- 5 Years Required Technical Skills ----------------------------- Strong hands\-on experience with: Hands\-on experience with: Key Skills: Machine Learning, TensorFlow, PyTorch, Feature Engineering Salary: Not disclosed