AI Engineer (Arabic Language Expertise)

Master-Works; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading technology firm based in Riyadh is seeking an experienced AI Engineer skilled in Large Language Models and Natural Language Processing. You'll develop AI solutions, optimize models for performance, and integrate speech technologies. Candidates should have over 8 years of experience in AI-related fields and a strong educational background. Fluency in Arabic and collaboration skills are essential for this role within a dynamic team.

Qualifications

• 8+ years of experience in relevant fields.
• Strong understanding of NLP techniques and libraries.
• Hands-on experience with speech-to-text systems.

Responsibilities

• Fine-tune and deploy large language models.
• Design and implement NLP algorithms.
• Develop and optimize speech-to-text pipelines.
• Enhance AI model efficiency for scalability.
• Stay updated on research in LLM and NLP technologies.

Skills

Experience with Large Language Models (LLMs)

Expertise in Natural Language Processing (NLP)

Proficiency in Python

Collaboration and teamwork

Problem-solving skills

Education

Bachelor's/Master's degree in Computer Science

Tools

Google Speech API

spaCy

PyTorch

TensorFlow

Job description

Job Overview:
We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences.

Experience: 8+ years

Location:Riyadh, KSA (5 Days work from office)

Working Days: Sunday to Thursday

Language requirement: Must be fluent in Arabic

Key Responsibilities:

• LLM Development & Integration:
• Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support.
• Evaluate and improve the performance of LLMs in real-world scenarios.
• NLP System Design:
• Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization.
• Work with large datasets to train and validate NLP models.
• Collaborate with cross-functional teams to identify and address language-based challenges.
• Speech-to-Text Implementation:
• Develop and optimize speech-to-text pipelines for various languages and dialects.
• Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality.
• Stay updated on the latest advancements in automatic speech recognition (ASR).
• Performance Optimization:
• Enhance AI model efficiency for scalability and real-time processing.
• Address biases, improve accuracy, and ensure robustness in all models.
• Research and Innovation:
• Stay abreast of the latest research in LLM, NLP, and speech technologies.
• Experiment with emerging techniques and integrate them into company solutions.
• Documentation and Collaboration:
• Maintain comprehensive documentation for models, processes, and systems.
• Collaborate with product managers, software engineers, and other stakeholders.

• Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks).
• Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face).
• Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies.
• Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch.
• Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.