NLP Engineer - Arabic Language Focus
At a glance
Mid-level Machine Learning Engineering role at Devsinc. Riyadh.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build Arabic and multilingual NLP systems for chatbots, virtual assistants, search and document processing
- Develop production-ready language models and implement Retrieval-Augmented Generation architectures
- Deploy scalable AI services in cloud environments and support model rollout, monitoring and lifecycle management
- Create NLP solutions using techniques such as embeddings, vector search, classification and summarization
What you bring
- A bachelor's or master's degree in computer science, AI, data science or a related discipline
- Three to six years working in NLP, machine learning or AI engineering, including Arabic NLP solutions
- Strong Python skills and practical use of modern NLP frameworks, including Hugging Face, spaCy and FastAPI
- Experience with LLMs, MLOps, cloud deployment and production-scale AI systems
Who this fits
This mid-level, on-site role in Riyadh suits an NLP engineer with hands-on Arabic language experience and a production deployment background. The work spans Arabic and multilingual applications, from model development through cloud deployment and operations.
From the employer
We are seeking an experienced NLP Engineer with strong expertise in Arabic Language Processing and Large Language Models (LLMs) to design, develop, and deploy intelligent AI solutions for Arabic and multilingual applications. The role involves building advanced NLP systems for chatbots, virtual assistants, intelligent search, document processing, and other AI-driven digital solutions.
The ideal candidate will have hands-on experience in developing production-grade NLP models, implementing Retrieval-Augmented Generation (RAG) architectures, and deploying scalable AI services in cloud environments.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3–6 years of experience in NLP, Machine Learning, or AI Engineering.
- Strong experience working with Arabic language NLP solutions.
- Proficiency in Python and modern NLP/ML frameworks.
Hands-on experience with:
- Transformers and Large Language Models (LLMs)
- Embeddings and Vector Search
- Tokenization
- Text Classification
- Named Entity Recognition (NER)
- Sentiment Analysis
- Text Summarization
- Retrieval-Augmented Generation (RAG)
- Proficiency in Python.
- Experience with Hugging Face, spaCy, and FastAPI.
- Experience implementing MLOps practices, including model deployment, monitoring, and lifecycle management.
- Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of scalable AI architectures and production environments
Benefits
- Medical Inpatient & Outpatient Facilities
- Paid Overtime
- Engaging Company Activities
- Sports Allowance