Computational Linguistics and NLP Engineer
3 weeks ago
Computational Linguistics and NLP Engineer
We seek an adept Computational Linguistics and Natural Language Processing (NLP) Engineer to enhance our forward-thinking team. This role requires collaboration with Product Owners and Digital Engineering teams to ensure seamless integration of cutting-edge linguistic technology into production settings.
Conceptualised, developed, and deployed advanced NLP algorithms, focusing on vector space models (contextual representation learning) for intricate language understanding and manipulation.
Expertise in designing, developing and verifying neural network architectures using deep learning frameworks like PyTorch and PyGeometric.
Facilitate the deployment of machine learning models into production environments, with an emphasis on efficiency and scalability.
Engage in rigorous code review processes, endorsing the team's dedication to superior code quality and engineering standards.
Assess the performance of NLP models and systems post-implementation, employing advanced machine learning metrics.
Utilise frameworks like ML Flow for tracking experiments, managing machine learning pipelines, and orchestrating model deployment.
D. in Computer Science, Computational Linguistics, or a related discipline.
Demonstrated experience in the development, evaluation, and production implementation of machine learning models.
Proficiency with machine learning metrics and the use of frameworks like ML Flow to track model performance.
Agile methodology experience and the ability to function effectively in a team setting.
A published body of work in NLP or associated fields.
Insight into DevOps methodologies and instrumentation.
Opportunities for professional growth and skills development.
Qualified individuals who aspire to drive significant progress in computational linguistics and NLP are encouraged to apply. Join us in advancing the interface between technology and language
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Machine Learning
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