NLP Engineer- Arabic Speaking Secure Maximum Company

Employer Active

Posted on 16 Dec

Experience

3 - 7 Years

Job Location

Riyadh - Saudi Arabia

Education

Bachelor of Technology/Engineering(Computers)

Nationality

Egyptian, Jordanian

Gender

Any

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities


Job Summary

We are seeking a skilled NLP Engineer with expertise in Arabic language processing to design, develop, and deploy NLP and LLM-based solutions. The role involves building chatbots, virtual assistants, intelligent search, and other AI-driven applications with a focus on Arabic and multilingual contexts.


Key Responsibilities

• Design, implement, and deploy NLP models for Arabic and multilingual applications.

• Develop solutions for chatbots, virtual assistants, intelligent search, and other AI- powered tools.

• Apply advanced NLP techniques: transformers, embeddings, tokenization, text classification, NER, sentiment analysis, summarization, and RAG.

• Collaborate with data science, engineering, and product teams to integrate NLP models into production systems.

• Maintain and monitor model performance, implement improvements, and optimize for scalability.

• Utilize MLOps best practices for model deployment and monitoring.

• Work with cloud platforms to support model deployment, scalability, and operational efficiency.


Required Skills & Experience

• 3–6 years of experience in Arabic NLP, preferably within banking, fintech, or digital solutions.

• Hands-on expertise with Python, Hugging Face, spaCy, and FastAPI.

• Experience with transformers, embeddings, tokenization, text classification, NER, sentiment analysis, summarization, RAG.

• Familiarity with MLOps frameworks and cloud deployment (AWS, Azure, or GCP).

• Strong problem-solving, analytical, and communication skills. Preferred Qualifications

• Experience working on NLP solutions for banking or financial services.

• Master’s or Bachelor’s degree in Computer Science, AI, Data Science, or a related field.

• Familiarity with Arabic NLP challenges, dialects, and language-specific preprocessing.


Employment Type

    Full Time

Company Industry

Department / Functional Area

Keywords

  • NLP
  • Arabic
  • LLM
  • Natural Language Processing
  • Chatbots
  • Virtual Assistants
  • Intelligent Search

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Secure Maximum Company

Mr. Rizwan

8924 Prince Mansour Bin Abdulaziz St, Al Olaya, Riyadh 12611, Saudi Arabia, Riyadh, Saudi Arabia

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