Masterworks

Technical Large Language Models AI Engineer Lead

Riyadh, Saudi Arabia
Python TensorFlow PyTorch OpenAI spaCy NLTK Hugging Face Google Speech API Whisper Large Language Models Natural Language Processing Speech-to-Text
Description

Technical LLMS AI Engineer Lead

Location: Riyadh, Riyadh Province, Saudi Arabia

Department: Nabeh Company

Workplace: on_site

Employment Type: full

Description


We are seeking a talented and motivated AI Engineer (Technical Lead) with deep expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. In this role, you will play a key part in building and optimizing advanced AI solutions to enhance our products and services. You will lead the development and integration of intelligent systems that enable seamless human-computer interaction and drive innovation across teams.

Key Responsibilities:

LLM Development & Integration:

  • Fine-tune and deploy large language models for applications such as chatbots, content generation, and customer support.
  • Continuously evaluate and enhance the performance of LLMs in real-world environments.

NLP System Design:

  • Design and implement NLP solutions for tasks including text classification, entity recognition, summarization, and sentiment analysis.
  • Work with large datasets to train, validate, and optimize NLP models.
  • Collaborate with cross-functional teams to identify and solve language processing challenges.

Speech-to-Text Implementation:

  • Build and refine speech-to-text systems for diverse languages and dialects.
  • Integrate ASR (automatic speech recognition) systems with LLM and NLP pipelines for seamless end-to-end solutions.
  • Stay current with the latest developments in speech recognition technology.

Performance Optimization:

  • Optimize model performance for scalability and low-latency applications.
  • Address model bias, improve accuracy, and ensure robustness in production environments.

Research & Innovation:

  • Monitor emerging trends and advancements in LLMs, NLP, and speech technologies.
  • Experiment with and implement cutting-edge research in practical use cases.

Documentation & Collaboration:

  • Maintain clear technical documentation for all AI systems, models, and workflows.
  • Work closely with software engineers, data scientists, and product teams to align AI solutions with business objectives.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven experience in LLM development using platforms like OpenAI (GPT) or similar.
  • Strong understanding of NLP techniques and hands-on experience with libraries such as spaCy, NLTK, or Hugging Face.
  • Solid experience with speech recognition technologies (e.g., Google Speech API, Whisper, or similar tools).
  • Proficiency in Python, along with experience in TensorFlow, PyTorch, or similar frameworks.
  • Excellent problem-solving skills, collaborative approach, and ability to handle multiple projects simultaneously.
  • Fluent in Arabic – This role requires Arabic language skills.


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