AI & ML Development

Demonstrate broad, in-depth knowledge of classical ML (e.g., regression, tree-based models, SVMs) and advanced deep learning (CNNs, RNNs, Transformers).

Develop end-to-end ML solutions, from data exploration and feature engineering to model deployment and monitoring.

Integrate and fine-tune generative AI models (e.g., GPT, Claude, …) and open-source LLMs for various applications, ensuring robust performance at scale.

Conversational AI\: Chatbots & Voice Bots\:

Design, develop, and deploy conversational AI solutions, including chatbots and voice bots powered by LLMs and speech technologies.

Implement Speech-to-Text (STT) and Text-to-Speech (TTS) solutions for voice-based user interfaces, ensuring natural, context-aware, human-like dialogues.

Conduct dialog management, intent classification, response generation, and speech analytics to enhance the user experience and optimize language models for accuracy and latency.

Speech Analytics Platform Management\:

Manage the speech analytics platform, focusing on\:

Oversee speech-to-text model fine-tuning, data annotation, model evaluation, and operational maintenance to improve transcription accuracy.

OCR & Document Processing

Implement OCR solutions (open-source or commercial) for large-scale document processing.

Integrate OCR outputs with backend systems and workflows where document-based queries or processing are required.

Generative AI & Retrieval-Augmented Generation (RAG)

Build RAG workflows using frameworks like LangChain to enhance conversational AI and document-based question-answering.

Combine classical ML with generative methods to deliver innovative customer-facing experiences.

Research & Innovation

Stay updated on ML/deep learning trends, focusing on conversational AI developments.

Propose proof-of-concepts (PoCs) to explore new ideas, demonstrating outside-the-box thinking to address business challenges.

Cultivate a culture of experimentation, enabling rapid prototyping and iteration on novel solutions.

Stakeholder Engagement

Collaborate with product owners, business analysts, and other stakeholders to translate requirements into conversational AI solutions that deliver measurable ROI.

Present complex AI concepts to non-technical audiences, emphasizing business value and customer experience impact.

Vendor Management\:

Prepare RFPs and manage vendor relationships to procure new technologies or upgrades, ensuring compliance with SLAs and business objectives.

Manage the business relationships with the vendors starting from the cycle of RFPs and vendor selection until managing the platforms' operational issues to ensure maximum RIO on e& Egypt.

Support & Issue Resolution\: Act as third-line support for escalated issues, providing swift resolutions and maintaining system reliability.

Team Leadership\:

Manage the team members in terms of coaching, motivation, performance evaluation and training, ensuring efficient utilization of the resources' capacity, in order to meet the department's plans and reach the desired outcome.  

Mentor and support team member, fostering a culture of technical excellence and continuous development.

Demonstration of team spirit and a proactive collaboration with cross functional projects.