We are seeking a talented and motivated AI Engineer (Technical Lead) with deep expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. In this role, you will play a key part in building and optimizing advanced AI solutions to enhance our products and services. You will lead the development and integration of intelligent systems that enable seamless human-computer interaction and drive innovation across teams.
Key Responsibilities:
LLM Development & Integration:
- Fine-tune and deploy large language models for applications such as chatbots, content generation, and customer support.
- Continuously evaluate and enhance the performance of LLMs in real-world environments.
NLP System Design:
- Design and implement NLP solutions for tasks including text classification, entity recognition, summarization, and sentiment analysis.
- Work with large datasets to train, validate, and optimize NLP models.
- Collaborate with cross-functional teams to identify and solve language processing challenges.
Speech-to-Text Implementation:
- Build and refine speech-to-text systems for diverse languages and dialects.
- Integrate ASR (automatic speech recognition) systems with LLM and NLP pipelines for seamless end-to-end solutions.
- Stay current with the latest developments in speech recognition technology.
Performance Optimization:
- Optimize model performance for scalability and low-latency applications.
- Address model bias, improve accuracy, and ensure robustness in production environments.
Research & Innovation:
- Monitor emerging trends and advancements in LLMs, NLP, and speech technologies.
- Experiment with and implement cutting-edge research in practical use cases.
Documentation & Collaboration:
- Maintain clear technical documentation for all AI systems, models, and workflows.
- Work closely with software engineers, data scientists, and product teams to align AI solutions with business objectives.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven experience in LLM development using platforms like OpenAI (GPT) or similar.
- Strong understanding of NLP techniques and hands-on experience with libraries such as spaCy, NLTK, or Hugging Face.
- Solid experience with speech recognition technologies (e.g., Google Speech API, Whisper, or similar tools).
- Proficiency in Python, along with experience in TensorFlow, PyTorch, or similar frameworks.
- Excellent problem-solving skills, collaborative approach, and ability to handle multiple projects simultaneously.
- Fluent in Arabic – This role requires Arabic language skills.
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