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 such as OpenAI technologies where appropriate, while also focusing on open-source AI frameworks such as Langchain.

AI Network & Infrastructure

• 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.

Data Management & Security

• 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.

Collaboration & Research

• 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.

Knowledge and Experiences:
• 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.

Advanced AI/ML & LLM Expertise: 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, TensorFlow, 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.