Technical LLMS AI Engineer Lead

Overview

AI Engineer (Technical Lead)

Large Language Models (LLMs),

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