
Senior AI/ML Engineer
1 week ago
About the Role: We are seeking a highly experienced Lead Machine Learning Engineer with specialization in Speech AI, Natural Language Processing (NLP), and Generative AI (GenAI).
">Key Responsibilities:
- ML Architecture & Modeling: Architect design and implement advanced machine learning models across speech recognition text-to-speech NLP and multimodal tasks.
- Lead the development and fine-tuning of Transformer-based LLMs including encoder-decoder architectures for audio and text tasks.
- Build custom audio-LLM interaction frameworks including techniques like modality fusion speech understanding and language generation.
Virtual Assistant Development: Design and deploy LLM-powered virtual assistants with real-time speech interfaces for dialog voice commands and assistive technologies.
MLOps & Scalable Pipelines: Design and implement end-to-end ML pipelines covering data ingestion preprocessing feature extraction model training evaluation and deployment.
Research and Innovation: Stay up to date with state-of-the-art publications in Speech AI LLMs and GenAI evaluate applicability and drive adoption of novel techniques.
Required Technical Skills: 10+ years of hands-on experience in machine learning with a deep focus on audio speech and NLP applications. Expertise in Automatic Speech Recognition and Text-to-Speech systems including tools like Wav2Vec Whisper Tacotron FastSpeech etc. Strong knowledge of Transformer architectures such as BERT GPT T5 and encoder-decoder LLM variants including training/fine-tuning at scale.
Preferred Qualifications: Master's or Ph.D. in Computer Science Machine Learning Signal Processing or related technical discipline. Publications or open-source contributions in speech NLP or GenAI.
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