Senior Automatic Speech Recognition (ASR) Engineer

Brak informacji o wynagrodzeniu

SeniorHybryda·BengaluruFull-time

#464583·Dodano 3 dni temu·0

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

data miningDocumentationtrainingLinux PythonArtificial Intelligence (AI)Research & Development (R&D)Machine Learning (ML)DeploymentMicrosoft Windows

Podsumowanie oferty

Join the ASR Research & Development team to develop and improve speech recognition technologies for real-world, multilingual use. You will research, train, and optimise ASR models, improve training pipelines and language modelling, and analyse speech data and recognition errors.

Wymagania

MSc or PhD in Computer Science, Computational Linguistics, Applied Mathematics, Electrical Engineering, or a related discipline.
5+ years of relevant experience in speech technology, ASR, machine learning, or a related research and development field.
Strong background in speech recognition, computational linguistics, machine translation, and/or natural language processing.
Extensive hands-on experience with end-to-end ASR systems and language modelling.
Strong understanding of deep learning architectures, machine learning principles, statistical methods, and model evaluation techniques.
Practical experience with model training, fine-tuning, hyperparameter optimisation, and performance evaluation.
Proficiency in Python and shell scripting, with strong software engineering fundamentals.
Experience working in Linux environments; familiarity with Windows-based development environments.
Ability to analyse experimental results, investigate model errors, and identify solutions to complex technical problems.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written and verbal communication skills in English.

Preferred Skills:

Experience training, fine-tuning, and optimising Conformer-based ASR models.
Experience with Transformer-based architectures, attention mechanisms, sequence modelling, and modern end-to-end speech recognition approaches.
Knowledge of acoustic modelling, pronunciation modelling, decoding strategies, and speech recognition evaluation metrics such as Word Error Rate (WER) and Character Error Rate (CER).
Experience with large-scale speech data processing, dataset selection, data augmentation, and multilingual speech modelling.
Experience with generative AI, Large Language Models (LLMs), prompt engineering, and fine-tuning techniques.
Expertise in one or more areas such as machine learning, statistical modelling, information retrieval, deep learning, or data mining.
Experience with model compression, pruning, quantisation, efficient inference, or deployment optimisation.
Familiarity with ESPnet, NVIDIA NeMo, SpeechBrain, Kaldi, or equivalent ASR frameworks and tools.
Fluency in a second language other than English.

Obowiązki

Research, develop, train, and optimise end-to-end ASR models to improve speech recognition accuracy and robustness.
Run experiments to evaluate ASR model quality and analyse the effects of hyperparameters, training strategies, and model configurations.
Develop and improve model training recipes, fine-tuning strategies, and language modelling techniques.
Work with Conformer-based architectures and other state-of-the-art speech recognition models, including training and optimisation where applicable.
Identify, curate, clean, optimise, and cluster speech and text training datasets.
Analyse large-scale product usage data and speech recognition errors to identify performance gaps and improvement opportunities.
Apply model optimisation techniques, including pruning, efficient representations, model compression, and language model interpolation.
Improve ASR performance across multiple languages, accents, speaking styles, and real-world acoustic conditions.
Keep up to date with developments in speech technology, deep learning, computational linguistics, and natural language processing.
Design and conduct research experiments, interpret results, and present findings and recommendations to the research team.
Collaborate with engineering, research, and product teams to translate business requirements into technical solutions.
Maintain standards for code quality, reproducibility, experimentation, and documentation.

emagine

1216 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz