Technical, Lead

Our subsidiary, (Nabeh) is seeking a talented and motivated Technical Lead with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text (STT) technologies. As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.

Key Responsibilities

• LLM Development & Integration
•  Fine-tune and deploy Large Language Models for chatbots, content generation, and virtual assistants.
•  Evaluate and optimize model performance in real-world use cases.
•  Integrate LLMs into production environments ensuring scalability and reliability.
• NLP System Design
•  Design and implement NLP algorithms for text classification, sentiment analysis, entity recognition, and summarization.
•  Handle large text datasets for model training and validation.
•  Collaborate with cross-functional teams to address language-related challenges.
• Speech-to-Text Implementation
• Develop and optimize speech-to-text (ASR) pipelines for multiple languages and dialects.
•  Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.
•  Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.
• Performance Optimization
• Improve AI model efficiency for real-time performance and scalability.
• Identify and mitigate biases to ensure model accuracy, fairness, and robustness.
• Research & Innovation
• Stay current with cutting-edge research in LLMs, NLP, and Speech AI.
•  Experiment with new architectures and techniques to drive innovation.
• Documentation & Collaboration
•  Maintain detailed documentation of models, datasets, and workflows.
•  Collaborate with product managers, software engineers, and other stakeholders to deliver production-grade AI solutions.

Requirements

•  Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
•  Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar frameworks).
•  Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).
•  Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API, DeepSpeech).
•  Proficiency in Python and frameworks like TensorFlow or PyTorch.
•  Excellent analytical, problem-solving, and communication skills.

Job location: HQ