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Senior AI Engineer (WAT Remote)

Role overview

Qualifications

  • Minimum of 3 years in AI/ML engineering, focused on NLP and large language models.
  • Strong expertise in transformer-based models such as GPT, BERT, T5, or equivalent.
  • Proficiency with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Experience in training and fine-tuning LLMs on large-scale, multilingual datasets.

Responsibilities

  • Lead the design, training, and optimization of large-scale language models for African languages and dialects.
  • Develop innovative solutions for data pre-processing, tokenization, and embedding for low-resource datasets.
  • Implement and fine-tune transformer-based architectures for NLP applications like text generation and translation.
  • Collaborate with linguists, cultural experts, and AI researchers to ensure LLM alignment with user needs.

About the company

Awarri logo

Awarri

ENABLING AI FOR AFRICA Awarri, derived from the Yoruba word "Awari" meaning “seek and find”, embodies a vision where Native Intelligence meets the cutting edge of technology; Artificial Intelligence. Our mission is to enable the development and adoption of frontier technology on the African continent by building lasting technology solutions and creating a brighter future using the power of AI.

Company details

Company size51 - 200

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Job description

At Awarri, our mission is to enable the development and adoption of frontier technology on the African continent, starting in Nigeria, by building lasting technology solutions and creating a brighter future using the power of AI.

We are achieving that mission through the development of Language Models designed to represent and empower African languages and contexts. Join our team of AI innovators as we shape the future of natural language processing (NLP) in Africa, focusing on cultural preservation, linguistic diversity, and cutting-edge generative AI solutions.

Why Join Awarri?

  • Be part of a pioneering initiative to shape the future of AI in Africa.
  • Collaborate with a passionate and diverse team of engineers, researchers, and innovators.
  • Contribute to projects with real-world impact, driving inclusivity and representation in AI.


Senior AI/ML Engineer

The Senior AI/ML Engineer will play a central role in the design, development, and deployment of language models tailored to low-resource languages and diverse cultural contexts. They will collaborate with interdisciplinary teams to advance Awarri's mission of creating contextually aware and impactful AI solutions.

Responsible for

  • Lead the design, training, and optimization of large-scale language models for African languages and dialects, ensuring accuracy and contextual relevance.
  • Develop innovative solutions for data pre-processing, tokenization, and embedding, specifically for low-resource and multilingual datasets.
  • Implement and fine-tune transformer-based architectures (e.g., GPT, BERT) for specific NLP applications like text generation, translation, and sentiment analysis.
  • Design scalable pipelines for data collection, annotation, and pre-processing to support model development.
  • Collaborate with linguists, cultural experts, and AI researchers to ensure the LLM aligns with diverse user needs and cultural sensitivities.
  • Deploy, monitor, and maintain production-level LLM systems in cloud-based environments, ensuring robust performance and reliability.
  • Establish frameworks for model evaluation, leveraging metrics such as perplexity, BLEU, and human-centered benchmarks.
  • Stay at the forefront of advancements in NLP, LLMs, and generative AI, integrating emerging research into Awarri's language model development efforts.
  • Document processes, architectures, and outcomes for knowledge sharing and collaboration across teams.
  • Technical Proficiency:

Requirements

  • Minimum of 3 years in AI/ML engineering, with a focus on NLP and large language models.
    • Strong expertise in transformer-based models such as GPT, BERT, T5, or equivalent.
    • Proficiency with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
    • Experience in training and fine-tuning LLMs on large-scale, multilingual datasets.
    • Strong programming skills, with expertise in NLP libraries and tools.
  • Data and Cloud Expertise:
    • Experience in building pipelines for text data collection, pre-processing, and annotation.
    • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying scalable NLP solutions.
  • Innovation & Collaboration: Demonstrated ability to work on open-ended research problems and collaborate with interdisciplinary teams, including linguists and cultural experts.
  • Impact: A proven track record of developing and deploying NLP systems that deliver measurable value in production.

Preferred Skills

  • Experience working with low-resource languages or multilingual NLP.
  • Knowledge of cultural and linguistic nuances in African contexts.
  • Familiarity with ethical AI principles, particularly for language technologies.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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