​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!