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Job Description

Job description

​Location: Dubai


Duration: Permanent


We’re currently partnered with a leading technology consultancy who are scaling their tech team. They offer a diverse work environment that provide services in the UAE impacting millions of lives. We're currently helping them search for a Site Reliability Engineer to join their ever growing team.


Responsibilities:


• Design, build, and refine NLP and LLM models for various applications such as chatbots, customer support automation, and AI-driven assistance tools.


• Conduct research and run experiments to push the boundaries of NLP and LLM capabilities.


• Gather, clean, and structure large-scale datasets for training and evaluating models.


• Apply data augmentation strategies to enhance model robustness and generalization.


• Deploy and manage NLP and LLM models in production environments, ensuring stability, efficiency, and scalability.


• Develop APIs and services to integrate these models seamlessly into various applications.


• Partner with software engineers, data scientists, and subject matter experts to deliver customized NLP solutions.


• Offer mentorship and technical guidance to junior colleagues.


• Implement logging and monitoring solutions to track model performance and reliability.


• Continuously evaluate and fine-tune models using feedback and new data.


• Maintain clear and detailed documentation of methodologies, experiments, and results.


• Present insights and updates to stakeholders through reports and presentations.


• Stay informed about the latest developments in NLP, LLM, and AI research.


• Contribute to the enhancement of team workflows, tools, and best practices.


Qualifications & skills:


• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.


• 3-6 years experience in a similar role


• Proven track record with Computer Vision frameworks and tools such as TensorFlow, PyTorch, Tesseract, and OpenCV.


• Experience integrating AI models into production workflows, including cloud-based deployments.


Apply Now!




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