11 часов назад
Senior AI Engineer (WAT Remote) (NLP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (NLP): Designing, training, and deploying language models for African languages and low-resource multilingual datasets with an accent on transformer architectures, data pipelines, and cultural context. Focus on fine-tuning production LLM systems, building evaluation frameworks, and integrating emerging NLP and generative AI research.
Location: Worldwide; remote work aligned with WAT.
Company
develops language models and AI solutions representing African languages, cultures, and contexts.
What you will do
- Lead the design, training, optimization, and deployment of large-scale language models for African languages and dialects.
- Develop preprocessing, tokenization, embedding, data collection, annotation, and multilingual text pipelines.
- Implement and fine-tune transformer architectures such as GPT, BERT, and T5 for text generation, translation, and sentiment analysis.
- Deploy, monitor, and maintain production LLM systems in cloud environments.
- Establish model evaluation frameworks using metrics such as perplexity, BLEU, and human-centered benchmarks.
- Collaborate with linguists, cultural experts, and AI researchers, while documenting architectures, processes, and results.
Requirements
- At least 3 years of AI/ML engineering experience focused on NLP and large language models.
- Strong expertise in transformer-based models, including GPT, BERT, T5, or equivalent.
- Proficiency with TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience training and fine-tuning LLMs on large-scale multilingual datasets.
- Experience building text data collection, preprocessing, and annotation pipelines.
- Familiarity with AWS, Azure, or GCP and a proven record of deploying production NLP systems.
Nice to have
- Experience with low-resource languages or multilingual NLP.
- Knowledge of cultural and linguistic nuances in African contexts.
- Familiarity with ethical AI principles for language technologies.
Culture & Benefits
- Work on AI initiatives focused on cultural preservation, linguistic diversity, and representation.
- Collaborate with engineers, researchers, linguists, cultural experts, and other interdisciplinary specialists.
- Contribute to language technologies with real-world impact across the African continent.
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