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About the Role
We are seeking a highly experienced Senior Data Scientist to lead the research, development, and scaling of our next-generation conversational AI and multimodal systems, with a focus on Speech Processing. You will own the end-to-end lifecycle of core models, from designing data pipelines and human-in-the-loop labelling systems to training, fine-tuning, and deploying state-of-the-art Automatic Speech Recognition (ASR) models.
Responsibilities
- Build, train, and optimise custom ASR models for high-accuracy transcription in noisy environments.
- Architect scalable data pipelines for ingesting, cleaning, and processing large volumes of unstructured audio and text data.
- Design strict quality assurance rubrics and manage human-in-the-loop labelling workflows to ensure high-fidelity training datasets.
- Lead the full iterative lifecycle, including data curation, baseline modelling, hyperparameter optimisation, evaluation, and production inference optimisation using techniques such as quantisation, distillation, and TensorRT.
- Evaluate emerging architectures, research papers, and open-source models.
- Make strategic decisions on when to build custom models from scratch versus fine-tuning existing foundational models.
- Partner with ML Engineers, Backend Developers, and Product Managers to integrate models into user-facing applications with stringent latency and throughput requirements.
- Guide and mentor junior data scientists and engineers, fostering a culture of rigorous scientific experimentation and robust engineering practices.
Requirements
- Master’s or Ph.D. in Speech Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly related quantitative field.
- 5+ years of industry experience in Machine Learning, Deep Learning, or Data Science.
- At least 2 years specifically focused on Generative AI, NLP, or Speech domains.
- Deep theoretical and practical understanding of acoustic modelling, ASR architectures such as Whisper, Conformer, wav2vec, Nemotron.
- Extensive experience designing data curation strategies, managing data annotation projects, and using tools for audio processing and text normalisation.
- Expert-level proficiency in Python and PyTorch.
Skills
- Speech Processing
- Automatic Speech Recognition (ASR)
- Data Pipelines
- Human-in-the-loop Labelling
- Model Lifecycle Management
- Hyperparameter Optimisation
- Quantisation
- Distillation
- TensorRT
- Architectural Leadership
- MLOps
- Cross-functional Collaboration
- Mentorship
- Generative AI
- NLP
- Acoustic Modelling
- Whisper
- Conformer
- wav2vec
- Nemotron
- Data Engineering for AI
- Audio Processing
- Text Normalisation
- Python
- PyTorch
Experience Level
- Senior
- 5+ years industry experience
- 2+ years focused on Generative AI, NLP, or Speech
Education Level
- Master's or Ph.D. in Speech Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly related quantitative field.