AI Engineer Job

Transguard Group

Valid Till: 23 December 2024

Dubai, United Arab Emirates

Job Description

Seeking experienced AI Engineers with a robust background in machine learning and LLMs to join our client’s team. The ideal candidates should possess expertise in the following areas:

  • Implement and manage LLMs for image processing, including handwriting recognition.
  • Set up 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 & Experience:

  • 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