NLP Engineer - Arabic Language Focus
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Key skills for this role
About the Role
Devsinc is seeking an experienced NLP Engineer with strong expertise in Arabic Language Processing and Large Language Models to design, develop, and deploy AI solutions for chatbots, virtual assistants, and document processing.
Key Skills for This Role
Responsibilities
- Design, develop, and deploy intelligent AI solutions for Arabic and multilingual applications
- Build advanced NLP systems for chatbots, virtual assistants, intelligent search, document processing, and other AI driven digital solutions
- Implement Retrieval Augmented Generation (RAG) architectures
- Deploy 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)
- Experience with Embeddings and Vector Search
- Experience with Tokenization, Text Classification, NER, Sentiment Analysis, Text Summarization
- Experience with Retrieval Augmented Generation (RAG)
- Experience with Hugging Face, spaCy, and FastAPI
- Experience implementing MLOps practices
- Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP
- Strong understanding of scalable AI architectures and production environments
Full Job Posting
Role Overview
- 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 assi
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)
- Experience with Embeddings and Vector Search
- Experience with Tokenization, Text Classification, NER, Sentiment Analysis, Text Summarization
- Experience with Retrieval Augmented Generation (RAG)
- 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
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