AI Engineer (Arabic Language Expertise)

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Experience: 8+ years Location: Riyadh, KSA (5 Days work from office) Working Days: Sunday to Thursday Language requirement: Must be fluent in Arabic Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Requirements Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks). Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face). Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies. Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch. Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.