Build and deploy advanced NLP models for tasks like text classification, sentiment analysis, entity recognition, and question answering.
Work directly with large, unstructured datasets, performing data preprocessing, feature engineering, and cleaning.
Design and implement scalable pipelines to integrate NLP models into production applications.
Work with NLP architectures, including transformers, embeddings, and large language models.
Evaluate and fine-tune models to meet performance, accuracy, and efficiency requirements in production settings.
Troubleshoot and resolve complex issues in models, pipelines, or data processing workflows.
Document model design, assumptions, and implementation details to maintain reproducibility and clarity for the team.
Ideal Profile :
You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or a related field.
7+ years of professional experience in NLP, machine learning, or AI engineering.
Experience with data preprocessing, feature extraction, and model evaluation for NLP tasks.
Familiarity with cloud platforms, APIs, and deploying machine learning models at scale.
Knowledge of algorithmic and statistical foundations for NLP and ML.
Ability to solve complex NLP problems and deliver high-quality, production-ready solutions.
Excellent collaboration and communication skills to work with cross-functional teams.
What's on Offer?
Flexible working options
Opportunity to make a positive impact
Great work environment
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Engineer Engineer • Kenya
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