Specialist - Artificial Intelligence
About This Role
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.
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.
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