Job Description

Roles & Responsibilities

• 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.

Desired Candidate Profile

• 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.