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11 часов назад

Senior AI Engineer (WAT Remote) (NLP)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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