Awarri

• 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.

• Design, develop, and maintain scalable server-side logic and architectures • Implement efficient and reusable code for processing large datasets and managing complex AI workflows • Build and optimize APIs for data ingestion, retrieval, and integration with AI models • Work with data pipelines to handle large-scale text, multimedia, and linguistic datasets for training and serving AI models • Develop systems to integrate and deploy AI models seamlessly within backend architectures • Implement WebRTC and WebSocket protocols for real-time data exchange and communication • Support video and audio streaming features to enhance interactive AI applications • Design and maintain backend systems on cloud infrastructure such as AWS, Azure, or GCP • Implement security and data protection measures to safeguard sensitive data • Partner with frontend developers and AI researchers to design cohesive systems and ensure seamless user experiences