Ai analyst
Summary
Design and deploy AI voice bots, text bots, and QA systems using LLMs, NLP, and speech tech to improve customer interactions across channels.
Ready to build AI that truly makes an impact? You’ll design and deploy cutting‑edge voice bots, text bots, and AI‑driven QA systems that transform how customers connect across digital and voice channels.
We’re looking for hands‑on engineers passionate about Generative AI, LLMs, NLP, Speech Tech, and Responsible AI. If you thrive on solving complex problems and want your work to directly improve customer experiences, this is your chance to lead the way.
Key Responsibilities Develop and implement AI strategies to support business objectives. Identify opportunities for AI‑driven innovation in customer interactions, operational processes, and business efficiencies, with a focus on voice bots and chat bots. Development and deployment of AI solutions, including Generative AI, NLP, voice bots, speech‑to‑text, text‑to‑speech, LLMs, Quality Assurance Systems, etc. Solutions optimized for African languages. Stay updated with the latest advancements in AI and related technologies. Conduct research and experiments to explore new AI capabilities and their potential applications. Collaborate with academic institutions, industry experts, and technology partners to drive AI innovation. Ensure that the strictest Data Privacy and Governance standards are adhered to. Design, develop, and implement AI models and algorithms to address business challenges. Integrate AI solutions with existing systems and processes through APIs and other integration methods. Ensure AI solutions are scalable, robust, and maintainable. Analyze large datasets to extract meaningful insights and inform AI model development. Use advanced data processing and visualization techniques to present findings to stakeholders. Provide actionable recommendations based on data analysis to improve business outcomes. Qualifications and Skills Honours degree in Artificial Intelligence, Computer Science, Data Science, Computational Linguistics, or a related field. Master's degree preferred. Certifications in AI/ML platforms (e.g., Azure AI) advantageous. 2+ years of experience in AI, Generative AI, Machine Learning, NLP or a related field. Strong practical experience with AI voice and text bots. Hands‑on experience building AI chatbots using LLMs or conversational AI frameworks. Proven experience designing Speech‑to‑Text (STT), Text‑to‑Speech (TTS), and QA analysis tools.