Senior Artificial Intelligence Engineer [Riyadh based]

**This role requires 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, OpenAI, or similar ones.
• Optimize LLMs for specific business applications within Lucidya’s product ecosystem, ensuring high performance and scalability.
• Work 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 transfer, fine-tuning, and reinforcement learning techniques.
• Continuously monitor and improve model performance by refining datasets, tuning hyperparameters, and leveraging the latest AI frameworks.
• Contribute to creating explainable AI models that meet ethical guidelines and regulatory requirements.

Qualifications:

• Over 5 years experience as a Data Scientist / Machine Learning Engineer
• 2+ years of hands-on experience with Large Language Models (LLMs) such as GPT, BERT, OpenAI models, or other industry-leading LLMs.
• 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 withexplainable 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.