AI Engineer - NLP/LLM (Dubai)

freeC's Client

• Data Management:
• Collect, preprocess, and curate large datasets for training and evaluation of NLP, LLM models.
• Implement data augmentation and enhancement techniques to improve model robustness.
• Model Deployment:
• Deploy and maintain NLP, LLM models in production environments, ensuring high availability and performance.
• Develop APIs and services to make NLP, LLM capabilities accessible to other teams and applications.
• Collaboration:
• Work closely with data scientists, software engineers, and domain experts to understand requirements and deliver tailored NLP solutions.
• Provide technical guidance and mentorship to junior team members.
• Performance Monitoring:
• Implement monitoring and logging for deployed models to ensure performance, reliability, and scalability.
• Conduct regular evaluations and fine-tuning of models based on feedback and new data.
• Documentation and Reporting:
• Document methodologies, experiments, and results comprehensively.
• Communicate findings and progress to stakeholders through reports and presentations.
• Continuous Improvement:
• Stay updated with the latest advancements in NLP, LLM, and AI research.
• Contribute to the continuous improvement of the team's processes, tools, and methodologies.

Job requirement

• Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 3-5 years of experience in developing and deploying NLP, LLM models.
• Proven experience with large language models (e.g., GPT, BERT, llama, Mistral ..) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python and familiarity with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Expertise in machine learning algorithms, neural networks, and statistical modeling.
• Experience with cloud platforms (e.g., AWS, GCP, Azure)
• Strong problem-solving skills and the ability to work independently and collaboratively.

• Assistance with accommodation, living expenses, and work visa procurement for all staff.
• Financial assistance for employees to visit home fourth a year.
• A salary package that reflects your skills, experience, and contributions to the company.
• Provision of necessary work equipment, including a MacBook and iPhone.
• Continuous development of hard and soft skills through work and professional training.
• A holiday and New Year bonus to recognize your hard work and dedication.
• A professional, dynamic, and inclusive workplace culture that fosters collaboration and innovation.