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.RequirementsBachelor'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 SearchTokenizationText ClassificationNamed Entity Recognition (NER)Sentiment AnalysisText SummarizationRetrieval-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 environmentsBenefitsMedical Inpatient & Outpatient FacilitiesPaid OvertimeEngaging Company ActivitiesSports Allowance
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
Devsinc helps startups, enterprises and public sector clients accelerate their technology life cycle, by unlocking access to 2,000+ passionate and experienced solution providers with experience in 100+ technologies in their timezone.
Devsinc helps startups, enterprises and public sector clients accelerate their technology life cycle, by unlocking access to 2,000+ passionate and experienced solution providers with experience in 100+ technologies in their timezone.
