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AI Engineer (Mid-Level)

MASTER-WORKSالرياض, KSA1 months agoMid-Senior
Mid-Seniorfulltime

Skills

NLPScalaVAT

About This Role

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 design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.

LLM Development & Integration

  • Fine-tune and deploy **Large Language Models** for chatbots, content generation, and virtual assistants.
  • Evaluate and optimize model performance in real-world use cases.
  • Integrate LLMs into production environments ensuring scalability and reliability.

NLP System Design

  • Design and implement **NLP algorithms** for text classification, sentiment analysis, entity recognition, and summarization.
  • Handle large text datasets for model training and validation.
  • Collaborate with cross-functional teams to address language-related challenges.

Speech-to-Text Implementation

  • Develop and optimize **speech-to-text (ASR)** pipelines for multiple languages and dialects.
  • Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.
  • Stay updated with advancements in **Automatic Speech Recognition (ASR)** technologies.

Performance Optimization

  • Improve AI model efficiency for real-time performance and scalability.
  • Identify and mitigate biases to ensure model accuracy, fairness, and robustness.

Research & Innovation

  • Stay current with cutting-edge research in **LLMs, NLP, and Speech AI**.
  • Experiment with new architectures and techniques to drive innovation.

Documentation & Collaboration

  • Maintain detailed documentation of models, datasets, and workflows.
  • Collaborate with **product managers, software engineers,** and other stakeholders to deliver production-grade AI solutions.
  • **Requirements** **Qualifications**
  • **Bachelor’s or Master’s degree** in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • Proven experience in **LLM development** (e.g., OpenAI GPT, Claude, or similar frameworks).
  • Strong knowledge of **NLP libraries** (e.g., Hugging Face, spaCy, NLTK).
  • Hands-on experience with **speech-to-text tools** (e.g., Whisper, Google Speech API, DeepSpeech).
  • Proficiency in **Python** and frameworks like **TensorFlow** or **PyTorch**.
  • Excellent analytical, problem-solving, and communication skills.

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