Description
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:
Bachelors 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: Bachelors/Masters 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 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.
Required Experience:
IC
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