AI Engineer

Key Responsibilities:

• Implement and manage LLMs for image processing, including handwriting recognition.
• Setup and deploy LLMs on AWS Cloud (UAE Region) and local servers.
• Integrate local APIs with external and internal systems.
• Fine-tune and train LLM models, ensuring high-quality output.
• Troubleshoot and resolve issues during model training and deployment.
• Design and deploy high-speed network technologies for AI/LLM applications.
• Develop platforms for monitoring, analysis, and diagnosis of large-scale AI/LLM networks.
• Research and develop high-performance AI communication frameworks and network protocols.
• Build next-generation AI network infrastructure to support large-scale heterogeneous network hardware.
• Design and develop AI models using OpenAI technologies.
• Integrate AI models into existing systems and applications.
• Create and manage local LLMs, storing data in local databases.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Deep understanding of AI algorithms, data structures, and software development principles.
• Knowledge of Langchain, OpenAI, and open-source AI frameworks.
• Proven experience in developing and working with large language models.
• Strong foundation in machine learning concepts and techniques, including deep learning architectures and NLP.
• Proficiency in programming languages such as Python, .Net, TensorFlow, PyTorch and NodeJS.
• Expertise in pre-processing and cleaning large datasets for training models.
• Familiarity with data augmentation techniques and model evaluation metrics.
• Experience in deploying language models in production environments.
• Strong teamwork and communication skills to collaborate with cross-functional teams.
• A proactive approach to identifying and solving challenges in language model development.
• A portfolio showcasing previous language model projects is a plus.