Specialist - Artificial Intelligence

Responsibilities

• Deploy, manage and optimize large language models (LLMs), including specialized tasks such as image processing and handwriting recognition.
• Expertly set up and deploy LLMs on cloud services, ensuring scalable, secure, and performant solutions.
• Configure, deploy and manage LLMs on local servers, ensuring seamless integration with existing on‑premise infrastructure and data.
• Fine‑tune and train LLM models to deliver high‑quality, accurate, and contextually relevant outputs tailored to specific business needs.
• Conduct thorough troubleshooting and root cause analysis for issues during AI model training, deployment and operation.
• Integrate AI models and local APIs with both external systems and internal applications, ensuring smooth data flow and functional synergy.
• Design and develop AI models and solutions leveraging OpenAI technologies and open‑source AI frameworks such as Langchain.

• Develop and implement robust platforms for monitoring, analysis and diagnosis of large‑scale AI LLM networks to ensure operational stability and performance.
• Research, evaluate and develop high‑performance AI communication frameworks and network protocols to push the boundaries of AI capabilities.
• Contribute to building next‑generation AI network infrastructure capable of supporting large‑scale heterogeneous network hardware.

• Bachelor’s degree in IT with 5 years’ experience in a similar function, or Master’s degree with 3 years’ experience, or as defined in the JD Matrix.
• Advanced AI/ML and LLM expertise – Bachelor’s/Master’s in Computer Science/AI/ML, deep understanding of AI algorithms, data structures, deep learning, NLP, and proven experience in developing and deploying LLMs using open‑source (e.g., Langchain) and OpenAI frameworks.
• Programming & Cloud proficiency:
  Expert in Python, with experience in .Net, Tensor Flow, PyTorch, and NodeJS, and hands‑on experience deploying AI/LLMs on AWS Cloud (UAE Region) and local servers.
• Data Management & Engineering:
  Proficient in pre‑processing, cleaning, and augmenting large datasets for model training, with strong understanding of model evaluation metrics.
• Problem‑Solving &
  
  Collaboration:
  
  Proactive approach to technical challenges, excellent analytical skills, and strong teamwork and communication abilities.