Specialist - Artificial Intelligence

AI/LLM Development & Deployment

• Implement, manage, and optimize Large Language Models (LLMs), including those for specialized tasks like image processing and handwriting recognition.
• Expertly setup 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 encountered 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 where appropriate, while also focusing on open‑source AI frameworks such as Langchain.

• Develop and implement robust platforms for the 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 the next‑generation AI network infrastructure capable of supporting large-scale heterogeneous network hardware.

• Pre‑process and clean large datasets rigorously to ensure data quality and suitability for training AI models.
• Apply data augmentation techniques to enhance model robustness and performance.
• Create and manage local LLMs, ensuring all sensitive data is securely stored in local databases in compliance with organizational policies.
• Deploy and manage endpoint security solutions relevant to AI application interfaces and data access, minimizing security risks.

• Work closely with cross‑functional teams to understand business requirements and translate them into effective AI solutions.
• Continuously research and evaluate new AI advancements, tools, and best practices, proactively recommending improvements.
• Contribute to the continuous update and enhancement of the IT knowledge base, particularly for AI‑related topics.

• Bachelor’s degree in IT with 5 years’ experience in a similar function, or Masters’ degree with 3 years’ experience, or as defined in the JD Matrix.

• Bachelor’s/Master’s in Computer Science/AI/ML, with deep understanding of AI algorithms, data structures, deep learning, NLP, and proven experience in developing and deploying Large Language Models (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, coupled with 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, alongside strong understanding of model evaluation metrics.
• Problem‑Solving &
  
  Collaboration:
  
  A proactive approach to technical challenges, excellent analytical skills, and strong teamwork and communication abilities.