AI/ML Engineer

Role overview

Responsibilities

• Deploy and operate DeepSeek and Qwen models on local GPU infrastructure; configure models, optimize inference, integrate APIs, and operate in secure closed networks.
• Develop LLM, RAG, prompt engineering, NLP, and model evaluation capabilities using LangChain, LangSmith, and LangGraph.
• Build Arabic-language AI for OCR, document summarization, information extraction, and correspondence drafting.
• Develop Python, REST APIs, backend automation, ETL pipelines, and data quality validation.
• Implement MLOps infrastructure with Docker, Terraform, and CI/CD; deploy and monitor models.
• Use Hugging Face Transformers, PyTorch, BERT, and XGBoost for machine-learning work.
• Use Grafana, CloudWatch, and Power BI for monitoring.

Experience and education

• Four or more years developing and deploying production AI/ML and generative AI systems is preferred.
• Bachelor’s degree in Computer Science or a related discipline.
• AWS AI Practitioner or Microsoft Azure AI Engineer Associate certification is preferred.
• Arabic-language AI, MLOps, and production-grade model deployment experience are highly valued.

About the company

Data protection

• Applicant data is processed for recruitment under the UAE Federal Decree-Law No. 45 of 2021 and retained only as long as necessary.