AI Engineer

Location: Riyadh (Hybrid)

About Us:

Bites is transforming education with cutting-edge technology, empowering over 1 million users across 150+ countries with personalized and enjoyable learning experiences. Using GenAI, we’ve transformed more than 4 million studying materials into impactful learning experiences for students across the world.

Responsibilities:

• • Develop AI based solutions for document parsing and content generation.
  • Implement and improve OCR technologies for accurate document scanning and data extraction.
  • Collaborate with cross-functional teams to integrate LLMs and NLP solutions into our platform.
  • Design and maintain scalable AI systems to enhance user experience.
  • Conduct research to stay updated with the latest advancements in AI and machine learning.
• Requirements:
• • Bachelor’s Degree: A degree in Computer Science, Artificial Intelligence, or a related field is essential to ensure a solid foundation in technical skills and theoretical knowledge.
  • 2+ Years of Experience: Demonstrated experience in AI development, specifically focusing on:
  • Document Parsing: Understanding of techniques and tools for extracting and structuring information from various document formats.
  • Large Language Models (LLMs): Experience in integrating with cloud hosted LLMs for content generation and other natural language tasks.
  • Natural Language Processing (NLP): Proficiency in NLP techniques for text analysis and language translation.
  • Optical Character Recognition (OCR): Hands-on experience with OCR technologies to convert different types of documents, such as scanned paper documents, PDFs, or images into editable and searchable data.
  • Programming Proficiency: Strong skills in programming languages such as Python, with experience using frameworks like TensorFlow, PyTorch, or similar for developing AI models.
  • Problem-Solving Skills: Ability to tackle complex challenges and develop innovative solutions.

• • Experience with cloud platforms like AWS, Google Cloud, or Azure.
  • Familiarity with deploying AI models in production environments.
  • Contributions to open-source AI projects or publications in relevant fields.
  • Knowledge of spaced repetition algorithms and educational technology.