AI Engineer
Bites
- Riyadh
- Permanent
- Full-time
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.Preferred Qualifications:
- 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.