**Job Title:** Senior AI Engineer (Relocation to Riyadh, KSA)

We seek Senior AI Engineers with a deep understanding of Large Language Models (LLMs) to join our growing AI team. As a Senior AI Engineer, you will develop and deploy state-of-the-art AI solutions, focusing on LLMs. You will play a hands-on role in designing, training, and optimizing AI models that power our next-generation products. This is an exciting opportunity to be part of a cutting-edge team working on innovative solutions in the AI and customer experience space.

**Key Responsibilities:**

- **LLM Development and Deployment:**
- Develop, fine-tune, and deploy large language models (LLMs), such as GPT, BERT, and OpenAI models.
- Optimize LLMs for specific business applications, ensuring high performance and scalability.
- Collaborate with the AI Director to define the technical architecture and deployment strategies for LLM-based models in production environments.

- **AI Model Training and Optimization:**
- Train deep learning models using advanced techniques including transfer learning, fine-tuning, and reinforcement learning.
- Continuously monitor and improve model performance by refining datasets, tuning hyperparameters, and leveraging the latest AI frameworks.
- Contribute to the development of explainable AI models that meet ethical guidelines and regulatory requirements.

**Qualifications:**

- Over 5 years of experience as a Data Scientist / Machine Learning Engineer.
- 2+ years of hands-on experience with Large Language Models (LLMs) such as GPT, BERT, or other industry-leading models.
- Proven experience in deploying LLMs in production environments with high performance and scalability.
- Solid background in machine learning, natural language processing (NLP), and deep learning.
- Expertise in programming languages such as Python and frameworks like TensorFlow, PyTorch, and Hugging Face.
- Strong understanding of NLP techniques such as tokenization, transformers, embeddings, and fine-tuning LLMs for various use cases.
- Experience working with cloud platforms (e.g., AWS, GCP, Azure) for large-scale model training and deployment.
- Familiarity with data processing and management tools like Pandas, NumPy, and SQL.

**Preferred Skills:**

- Experience with explainable AI (XAI) and ensuring ethical AI practices.
- Familiarity with MLOps and AI model lifecycle management tools such as MLflow or Kubeflow.
- Prior experience deploying AI models in the SaaS industry or customer experience space is a plus.