Senior Data Scientist

|About the role

We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.

|What You’ll Do

• Development and Deployment:
• Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
• Optimize and fine-tune models to improve performance and accuracy for various applications.
• Research and Innovation:
• Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
• Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
• Data Analysis and Processing:
• Collect, preprocess, and analyze large datasets to support model training and evaluation.
• Implement robust data pipelines to ensure efficient data flow and processing.
• Model Evaluation and Improvement:
• Evaluate model performance using appropriate metrics and methodologies.
• Identify areas for improvement and implement strategies to enhance model effectiveness.
• Collaboration and Mentorship:
• Collaborate with cross-functional teams including engineers, product managers, and researchers.
• Mentor and guide junior data scientists and machine learning engineers.
• Documentation and Reporting:
• Document methodologies, experiments, and results comprehensively.
• Prepare and present reports and findings to stakeholders and team members.

|Minimum Qualifications

• Education:
• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• Experience:
• Minimum of 2 years of experience in LLM and Gen. AI
• Minimum of 5 years of experience in data science and machine learning.
• Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
• Experience with natural language processing and understanding tasks.

|Skills & Competencies

• Technical Skills:
• Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of machine learning algorithms, deep learning, and statistical methods.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
• Optional Skills:
• Proficiency in Arabic language (reading, writing, speaking) is a plus.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work independently and in a team-oriented environment.
• Continuous learning mindset and a passion for innovation.

|Working Conditions

• Full-time position; hybrid/remote options as per company policy.