5 months ago
Cairo, EgyptSenior
Responsibilities
- Design, train, and optimize AI models for real-time content summarization and recommendation.
- Implement NLP techniques for conversational UIs and predictive interactions.
- Apply RAG to generate intelligent responses from dynamic content sources.
- Fine-tune transformer-based models such as BERT and T5 using domain-specific datasets.
- Collaborate with backend and data engineering teams on production model deployment and maintenance.
- Maintain brand tone and content accuracy across AI-generated outputs.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- 5–7 years of progressive AI/ML engineering experience with a strong focus on Natural Language Processing.
- Practical experience with TensorFlow, PyTorch, and Hugging Face.
- Experience with LangChain, LangGraph, MLOps pipelines, and platforms such as AWS SageMaker or Azure AI Search.
- Strong understanding of LLMs, embeddings, and semantic search technologies.
- Expert proficiency in Python, Pandas, and NumPy.
- Familiarity with deploying AI models through microservices or APIs.
- Preferred: understanding of branding, tone, UX implications, headless CMS platforms, structured content datasets, ethical AI principles, and prompt engineering best practices.
Benefits
- Hybrid work arrangement with teams in the office an average of four days per week
- Equal opportunity workplace with accommodations or flexibility discussed during the interview process
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About VML
VML is a global marketing and advertising agency that designs brand experiences, customer journeys, and commerce programs for large consumer and enterprise brands. It operates in 55+ markets with principal offices including New York, London, and Singapore, and is part of WPP. Notable clients include Ford, Microsoft, Coca‑Cola, and Nestlé, spanning health, retail, and technology sectors.